CRAN checks API
CRAN checks API is an API providing access to CRAN checks data in a machine-readable format.
For a recent overview of the API, check out the Overview of the CRAN checks API blog post on the R-Hub blog.
The API was created and is maintained by Scott Chamberlain.
Base URL
R package cchecks 📦
Most endpoints are supported in the cchecks R client.
remotes::install_github("ropenscilabs/cchecks")
library("cchecks")
Authentication
Endpoints without authentication
docs/, heartbeat/, maintainers/, packages/, history/, badges/, search/
Endpoints with authentication
HTTP methods
This is mostly a read only API. That is, we only allow GET (and HEAD) requests on this API.
Requests of all other types will be rejected with appropriate 405 code.
Media types
JSON mostly, image/svg+xml for badges.
Pagination
The query parameters limit (default = 10) and offset (default = 0) can be sent.
- limit (integer, optional)
- number of records to return. Default: 10. Max: see endpoint docs.
- offset (integer, optional)
- Record number to start at. Default: 0. Max: see endpoint docs.
Above parameters can be used only on /pkgs, /maintainers, and /pkgs/{package_name}/history.
The response body from the server will include data on records found in found and number returned in count.
Response codes
For this section of the docs, examples of (bad) requests are given in the Shell tab on the right, and the headers are in the Headers tab.
200 (OK)
Request good!
curl https://cranchecks.info/heartbeat | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 256
date: Mon, 18 Jan 2021 13:34:40 GMT
{
"routes": [
"/",
"/docs",
"/heartbeat/?",
"/pkgs",
"/pkgs/:name",
"/maintainers",
"/maintainers/:email",
"/badges/:type/:package",
"/badges/flavor/:flavor/:package",
"/pkgs/:name/history",
"/history/:date",
"/search",
"/notifications/rules",
"/notifications/rules/:id"
]
}
204 (No Content)
Given on a delete request, indicating success, response body should be empty.
curl -XDELETE -H "Authorization: Bearer ***" \
https://cranchecks.info/notifications/rules/484
HTTP/2 204
access-control-allow-methods: DELETE
server: Caddy
x-content-type-options: nosniff
date: Mon, 18 Jan 2021 13:34:40 GMT
302 (Found)
The root /, redirects to /heartbeat, and /docs redirects to what you’re reading right now.
curl https://cranchecks.info/ | jq .
HTTP/2 302
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
location: https://cranchecks.info/heartbeat
server: Caddy
x-content-type-options: nosniff
content-length: 0
date: Mon, 18 Jan 2021 13:34:40 GMT
400 (Bad request)
When you have a malformed request, fix it and try again
curl https://cranchecks.info/maintainers/blablabla | jq .
HTTP/2 400
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 52
date: Mon, 18 Jan 2021 13:34:41 GMT
{
"error": {
"message": "no results found"
},
"data": null
}
404 (Not found)
When you request a route that does not exist, fix it and try again. E.g. in the example here we misspell “maintainers” to “maintainer”. 🙈
curl https://cranchecks.info/maintainer | jq .
HTTP/2 404
content-type: application/json
server: Caddy
x-cascade: pass
x-content-type-options: nosniff
content-length: 27
date: Mon, 18 Jan 2021 13:34:41 GMT
{
"error": "route not found"
}
405 (Method not allowed)
When you use a prohibited HTTP method for a given route. Don’t do that. 😉
curl -XDELETE https://cranchecks.info/pkgs/ropenaq/
HTTP/2 405
content-type: application/json
server: Caddy
x-content-type-options: nosniff
content-length: 30
date: Mon, 18 Jan 2021 13:34:41 GMT
{
"error": "Method Not Allowed"
}
500 (Internal server error)
Server got itself in trouble 😱 😭; get in touch with us.
HTTP/2 500
date: Thu, 21 May 2020 16:53:33 GMT
content-type: text/html; charset=utf-8
content-length: 0
Root
This path redirects to /heartbeat
curl https://cranchecks.info/ | jq .
HTTP/2 302
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
location: https://cranchecks.info/heartbeat
server: Caddy
x-content-type-options: nosniff
content-length: 0
date: Mon, 18 Jan 2021 13:34:42 GMT
Heartbeat
Get heartbeat for the API 💓 (i.e. the list of endpoints).
GET [/heartbeat]
Function of the cchecks R package: cch_heartbeat().
curl https://cranchecks.info/heartbeat | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 256
date: Mon, 18 Jan 2021 13:34:24 GMT
{
"routes": [
"/",
"/docs",
"/heartbeat/?",
"/pkgs",
"/pkgs/:name",
"/maintainers",
"/maintainers/:email",
"/badges/:type/:package",
"/badges/flavor/:flavor/:package",
"/pkgs/:name/history",
"/history/:date",
"/search",
"/notifications/rules",
"/notifications/rules/:id"
]
}
cchecks::cch_heartbeat()
$routes
[1] "/" "/docs"
[3] "/heartbeat/?" "/pkgs"
[5] "/pkgs/:name" "/maintainers"
[7] "/maintainers/:email" "/badges/:type/:package"
[9] "/badges/flavor/:flavor/:package" "/pkgs/:name/history"
[11] "/history/:date" "/search"
[13] "/notifications/rules" "/notifications/rules/:id"
Docs
This path redirects to the docs (hopefully here! 😸). See Headers tab.
GET [/docs]
curl https://cranchecks.info/docs
HTTP/2 301
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
location: https://docs.cranchecks.info/
server: Caddy
x-content-type-options: nosniff
content-length: 0
date: Mon, 18 Jan 2021 13:34:24 GMT
Maintainers
Get checks data by package maintainer.
Function of the cchecks R package: cch_maintainers().
Maintainers
Get checks summaries for all maintainers.
GET [/maintainers]
Default limit of 10, max of 1000.
Example with custom offset and limit.
curl https://cranchecks.info/maintainers/?limit=2&offset=5 | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 1060
date: Mon, 18 Jan 2021 13:34:27 GMT
{
"found": 10439,
"count": 2,
"offset": 5,
"error": null,
"data": [
{
"email": "markus.boenn.sf_at_googlemail.com",
"name": "Markus Boenn",
"url": "https://cloud.r-project.org/web/checks/check_results_markus.boenn.sf_at_googlemail.com.html",
"date_updated": "2021-01-18T12:03:01.090Z",
"table": [
{
"package": "hypergea",
"any": true,
"ok": 6,
"note": 6,
"warn": 0,
"error": 0
}
],
"packages": [
{
"package": "hypergea",
"url": "https://cloud.r-project.org/web/checks/check_results_hypergea.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 6
},
{
"category": "OK",
"number_checks": 6
}
],
"version": null
}
]
},
{
"email": "s.greilich_at_dkfz.de",
"name": "Steffen Greilich",
"url": "https://cloud.r-project.org/web/checks/check_results_s.greilich_at_dkfz.de.html",
"date_updated": "2021-01-18T12:03:01.090Z",
"table": [
{
"package": "libamtrack",
"any": true,
"ok": 2,
"note": 10,
"warn": 0,
"error": 0
}
],
"packages": [
{
"package": "libamtrack",
"url": "https://cloud.r-project.org/web/checks/check_results_libamtrack.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 10
},
{
"category": "OK",
"number_checks": 2
}
],
"version": null
}
]
}
]
}
cchecks::cch_maintainers(limit = 2, offset = 5)
$found
[1] 10439
$count
[1] 2
$offset
[1] 5
$error
NULL
$data
email name
1 markus.boenn.sf_at_googlemail.com Markus Boenn
2 s.greilich_at_dkfz.de Steffen Greilich
url
1 https://cloud.r-project.org/web/checks/check_results_markus.boenn.sf_at_googlemail.com.html
2 https://cloud.r-project.org/web/checks/check_results_s.greilich_at_dkfz.de.html
date_updated table
1 2021-01-18T12:03:01.090Z hypergea, TRUE, 6, 6, 0, 0
2 2021-01-18T12:03:01.090Z libamtrack, TRUE, 2, 10, 0, 0
packages
1 hypergea, https://cloud.r-project.org/web/checks/check_results_hypergea.html, NOTE, OK, 6, 6, NA
2 libamtrack, https://cloud.r-project.org/web/checks/check_results_libamtrack.html, NOTE, OK, 10, 2, NA
Maintainers by email
Get checks data by email of the package maintainer.
GET [/maintainers/{email}]
⚠️ jane.doe@example.com has to be transformed to jane.doe_at_example.com.
curl https://cranchecks.info/maintainers/csardi.gabor_at_gmail.com | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 13131
date: Mon, 18 Jan 2021 13:34:28 GMT
{
"error": null,
"data": {
"email": "csardi.gabor_at_gmail.com",
"name": "Gábor Csárdi",
"url": "https://cloud.r-project.org/web/checks/check_results_csardi.gabor_at_gmail.com.html",
"date_updated": "2021-01-18T12:03:01.616Z",
"table": [
{
"package": "asciicast",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "callr",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "cleancall",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "cli",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "cliapp",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "clisymbols",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "cranlike",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "cranlogs",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "crayon",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "debugme",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "desc",
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1
},
{
"package": "disposables",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "dotenv",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "filelock",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "gh",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "gitcreds",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "igraph",
"any": true,
"ok": 5,
"note": 7,
"warn": 0,
"error": 0
},
{
"package": "igraphdata",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "isa2",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "keypress",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "keyring",
"any": true,
"ok": 10,
"note": 2,
"warn": 0,
"error": 0
},
{
"package": "liteq",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "lpSolve",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "oskeyring",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "pak",
"any": true,
"ok": 11,
"note": 1,
"warn": 0,
"error": 0
},
{
"package": "parsedate",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "pingr",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "pkgcache",
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1
},
{
"package": "pkgconfig",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "pkgsearch",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "praise",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "presser",
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1
},
{
"package": "prettycode",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "prettyunits",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "processx",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "progress",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "ps",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "rcmdcheck",
"any": true,
"ok": 11,
"note": 1,
"warn": 0,
"error": 0
},
{
"package": "rcorpora",
"any": true,
"ok": 5,
"note": 7,
"warn": 0,
"error": 0
},
{
"package": "rematch2",
"any": true,
"ok": 11,
"note": 1,
"warn": 0,
"error": 0
},
{
"package": "rhub",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "rversions",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "sankey",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "secret",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "sessioninfo",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "showimage",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "tracer",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "webdriver",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "webfakes",
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1
},
{
"package": "whoami",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "xmlparsedata",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "xopen",
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"package": "zip",
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1
}
],
"packages": [
{
"package": "asciicast",
"url": "https://cloud.r-project.org/web/checks/check_results_asciicast.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "callr",
"url": "https://cloud.r-project.org/web/checks/check_results_callr.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "cleancall",
"url": "https://cloud.r-project.org/web/checks/check_results_cleancall.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "cli",
"url": "https://cloud.r-project.org/web/checks/check_results_cli.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "cliapp",
"url": "https://cloud.r-project.org/web/checks/check_results_cliapp.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "clisymbols",
"url": "https://cloud.r-project.org/web/checks/check_results_clisymbols.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "cranlike",
"url": "https://cloud.r-project.org/web/checks/check_results_cranlike.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "cranlogs",
"url": "https://cloud.r-project.org/web/checks/check_results_cranlogs.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "crayon",
"url": "https://cloud.r-project.org/web/checks/check_results_crayon.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "debugme",
"url": "https://cloud.r-project.org/web/checks/check_results_debugme.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "desc",
"url": "https://cloud.r-project.org/web/checks/check_results_desc.html",
"check_result": [
{
"category": "ERROR",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "disposables",
"url": "https://cloud.r-project.org/web/checks/check_results_disposables.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "dotenv",
"url": "https://cloud.r-project.org/web/checks/check_results_dotenv.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "filelock",
"url": "https://cloud.r-project.org/web/checks/check_results_filelock.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "gh",
"url": "https://cloud.r-project.org/web/checks/check_results_gh.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "gitcreds",
"url": "https://cloud.r-project.org/web/checks/check_results_gitcreds.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "igraph",
"url": "https://cloud.r-project.org/web/checks/check_results_igraph.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 7
},
{
"category": "OK",
"number_checks": 5
}
],
"version": null
},
{
"package": "igraphdata",
"url": "https://cloud.r-project.org/web/checks/check_results_igraphdata.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "isa2",
"url": "https://cloud.r-project.org/web/checks/check_results_isa2.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "keypress",
"url": "https://cloud.r-project.org/web/checks/check_results_keypress.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "keyring",
"url": "https://cloud.r-project.org/web/checks/check_results_keyring.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 2
},
{
"category": "OK",
"number_checks": 10
}
],
"version": null
},
{
"package": "liteq",
"url": "https://cloud.r-project.org/web/checks/check_results_liteq.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "lpSolve",
"url": "https://cloud.r-project.org/web/checks/check_results_lpSolve.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "oskeyring",
"url": "https://cloud.r-project.org/web/checks/check_results_oskeyring.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "pak",
"url": "https://cloud.r-project.org/web/checks/check_results_pak.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "parsedate",
"url": "https://cloud.r-project.org/web/checks/check_results_parsedate.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "pingr",
"url": "https://cloud.r-project.org/web/checks/check_results_pingr.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "pkgcache",
"url": "https://cloud.r-project.org/web/checks/check_results_pkgcache.html",
"check_result": [
{
"category": "ERROR",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "pkgconfig",
"url": "https://cloud.r-project.org/web/checks/check_results_pkgconfig.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "pkgsearch",
"url": "https://cloud.r-project.org/web/checks/check_results_pkgsearch.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "praise",
"url": "https://cloud.r-project.org/web/checks/check_results_praise.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "presser",
"url": "https://cloud.r-project.org/web/checks/check_results_presser.html",
"check_result": [
{
"category": "ERROR",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "prettycode",
"url": "https://cloud.r-project.org/web/checks/check_results_prettycode.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "prettyunits",
"url": "https://cloud.r-project.org/web/checks/check_results_prettyunits.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "processx",
"url": "https://cloud.r-project.org/web/checks/check_results_processx.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "progress",
"url": "https://cloud.r-project.org/web/checks/check_results_progress.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "ps",
"url": "https://cloud.r-project.org/web/checks/check_results_ps.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "rcmdcheck",
"url": "https://cloud.r-project.org/web/checks/check_results_rcmdcheck.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "rcorpora",
"url": "https://cloud.r-project.org/web/checks/check_results_rcorpora.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 7
},
{
"category": "OK",
"number_checks": 5
}
],
"version": null
},
{
"package": "rematch2",
"url": "https://cloud.r-project.org/web/checks/check_results_rematch2.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "rhub",
"url": "https://cloud.r-project.org/web/checks/check_results_rhub.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "rversions",
"url": "https://cloud.r-project.org/web/checks/check_results_rversions.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "sankey",
"url": "https://cloud.r-project.org/web/checks/check_results_sankey.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "secret",
"url": "https://cloud.r-project.org/web/checks/check_results_secret.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "sessioninfo",
"url": "https://cloud.r-project.org/web/checks/check_results_sessioninfo.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "showimage",
"url": "https://cloud.r-project.org/web/checks/check_results_showimage.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "tracer",
"url": "https://cloud.r-project.org/web/checks/check_results_tracer.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "webdriver",
"url": "https://cloud.r-project.org/web/checks/check_results_webdriver.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "webfakes",
"url": "https://cloud.r-project.org/web/checks/check_results_webfakes.html",
"check_result": [
{
"category": "ERROR",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
},
{
"package": "whoami",
"url": "https://cloud.r-project.org/web/checks/check_results_whoami.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "xmlparsedata",
"url": "https://cloud.r-project.org/web/checks/check_results_xmlparsedata.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "xopen",
"url": "https://cloud.r-project.org/web/checks/check_results_xopen.html",
"check_result": [
{
"category": "OK",
"number_checks": 12
}
],
"version": null
},
{
"package": "zip",
"url": "https://cloud.r-project.org/web/checks/check_results_zip.html",
"check_result": [
{
"category": "ERROR",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"version": null
}
]
}
}
cchecks::cch_maintainers(x = "csardi.gabor_at_gmail.com")
$error
NULL
$data
$data$email
[1] "csardi.gabor_at_gmail.com"
$data$name
[1] "Gábor Csárdi"
$data$url
[1] "https://cloud.r-project.org/web/checks/check_results_csardi.gabor_at_gmail.com.html"
$data$date_updated
[1] "2021-01-18T12:03:01.616Z"
$data$table
package any ok note warn error
1 asciicast FALSE 12 0 0 0
2 callr FALSE 12 0 0 0
3 cleancall FALSE 12 0 0 0
4 cli FALSE 12 0 0 0
5 cliapp FALSE 12 0 0 0
6 clisymbols FALSE 12 0 0 0
7 cranlike FALSE 12 0 0 0
8 cranlogs FALSE 12 0 0 0
9 crayon FALSE 12 0 0 0
10 debugme FALSE 12 0 0 0
11 desc TRUE 11 0 0 1
12 disposables FALSE 12 0 0 0
13 dotenv FALSE 12 0 0 0
14 filelock FALSE 12 0 0 0
15 gh FALSE 12 0 0 0
16 gitcreds FALSE 12 0 0 0
17 igraph TRUE 5 7 0 0
18 igraphdata FALSE 12 0 0 0
19 isa2 FALSE 12 0 0 0
20 keypress FALSE 12 0 0 0
21 keyring TRUE 10 2 0 0
22 liteq FALSE 12 0 0 0
23 lpSolve FALSE 12 0 0 0
24 oskeyring FALSE 12 0 0 0
25 pak TRUE 11 1 0 0
26 parsedate FALSE 12 0 0 0
27 pingr FALSE 12 0 0 0
28 pkgcache TRUE 11 0 0 1
29 pkgconfig FALSE 12 0 0 0
30 pkgsearch FALSE 12 0 0 0
31 praise FALSE 12 0 0 0
32 presser TRUE 11 0 0 1
33 prettycode FALSE 12 0 0 0
34 prettyunits FALSE 12 0 0 0
35 processx FALSE 12 0 0 0
36 progress FALSE 12 0 0 0
37 ps FALSE 12 0 0 0
38 rcmdcheck TRUE 11 1 0 0
39 rcorpora TRUE 5 7 0 0
40 rematch2 TRUE 11 1 0 0
41 rhub FALSE 12 0 0 0
42 rversions FALSE 12 0 0 0
43 sankey FALSE 12 0 0 0
44 secret FALSE 12 0 0 0
45 sessioninfo FALSE 12 0 0 0
46 showimage FALSE 12 0 0 0
47 tracer FALSE 12 0 0 0
48 webdriver FALSE 12 0 0 0
49 webfakes TRUE 11 0 0 1
50 whoami FALSE 12 0 0 0
51 xmlparsedata FALSE 12 0 0 0
52 xopen FALSE 12 0 0 0
53 zip TRUE 11 0 0 1
$data$packages
package
1 asciicast
2 callr
3 cleancall
4 cli
5 cliapp
6 clisymbols
7 cranlike
8 cranlogs
9 crayon
10 debugme
11 desc
12 disposables
13 dotenv
14 filelock
15 gh
16 gitcreds
17 igraph
18 igraphdata
19 isa2
20 keypress
21 keyring
22 liteq
23 lpSolve
24 oskeyring
25 pak
26 parsedate
27 pingr
28 pkgcache
29 pkgconfig
30 pkgsearch
31 praise
32 presser
33 prettycode
34 prettyunits
35 processx
36 progress
37 ps
38 rcmdcheck
39 rcorpora
40 rematch2
41 rhub
42 rversions
43 sankey
44 secret
45 sessioninfo
46 showimage
47 tracer
48 webdriver
49 webfakes
50 whoami
51 xmlparsedata
52 xopen
53 zip
url
1 https://cloud.r-project.org/web/checks/check_results_asciicast.html
2 https://cloud.r-project.org/web/checks/check_results_callr.html
3 https://cloud.r-project.org/web/checks/check_results_cleancall.html
4 https://cloud.r-project.org/web/checks/check_results_cli.html
5 https://cloud.r-project.org/web/checks/check_results_cliapp.html
6 https://cloud.r-project.org/web/checks/check_results_clisymbols.html
7 https://cloud.r-project.org/web/checks/check_results_cranlike.html
8 https://cloud.r-project.org/web/checks/check_results_cranlogs.html
9 https://cloud.r-project.org/web/checks/check_results_crayon.html
10 https://cloud.r-project.org/web/checks/check_results_debugme.html
11 https://cloud.r-project.org/web/checks/check_results_desc.html
12 https://cloud.r-project.org/web/checks/check_results_disposables.html
13 https://cloud.r-project.org/web/checks/check_results_dotenv.html
14 https://cloud.r-project.org/web/checks/check_results_filelock.html
15 https://cloud.r-project.org/web/checks/check_results_gh.html
16 https://cloud.r-project.org/web/checks/check_results_gitcreds.html
17 https://cloud.r-project.org/web/checks/check_results_igraph.html
18 https://cloud.r-project.org/web/checks/check_results_igraphdata.html
19 https://cloud.r-project.org/web/checks/check_results_isa2.html
20 https://cloud.r-project.org/web/checks/check_results_keypress.html
21 https://cloud.r-project.org/web/checks/check_results_keyring.html
22 https://cloud.r-project.org/web/checks/check_results_liteq.html
23 https://cloud.r-project.org/web/checks/check_results_lpSolve.html
24 https://cloud.r-project.org/web/checks/check_results_oskeyring.html
25 https://cloud.r-project.org/web/checks/check_results_pak.html
26 https://cloud.r-project.org/web/checks/check_results_parsedate.html
27 https://cloud.r-project.org/web/checks/check_results_pingr.html
28 https://cloud.r-project.org/web/checks/check_results_pkgcache.html
29 https://cloud.r-project.org/web/checks/check_results_pkgconfig.html
30 https://cloud.r-project.org/web/checks/check_results_pkgsearch.html
31 https://cloud.r-project.org/web/checks/check_results_praise.html
32 https://cloud.r-project.org/web/checks/check_results_presser.html
33 https://cloud.r-project.org/web/checks/check_results_prettycode.html
34 https://cloud.r-project.org/web/checks/check_results_prettyunits.html
35 https://cloud.r-project.org/web/checks/check_results_processx.html
36 https://cloud.r-project.org/web/checks/check_results_progress.html
37 https://cloud.r-project.org/web/checks/check_results_ps.html
38 https://cloud.r-project.org/web/checks/check_results_rcmdcheck.html
39 https://cloud.r-project.org/web/checks/check_results_rcorpora.html
40 https://cloud.r-project.org/web/checks/check_results_rematch2.html
41 https://cloud.r-project.org/web/checks/check_results_rhub.html
42 https://cloud.r-project.org/web/checks/check_results_rversions.html
43 https://cloud.r-project.org/web/checks/check_results_sankey.html
44 https://cloud.r-project.org/web/checks/check_results_secret.html
45 https://cloud.r-project.org/web/checks/check_results_sessioninfo.html
46 https://cloud.r-project.org/web/checks/check_results_showimage.html
47 https://cloud.r-project.org/web/checks/check_results_tracer.html
48 https://cloud.r-project.org/web/checks/check_results_webdriver.html
49 https://cloud.r-project.org/web/checks/check_results_webfakes.html
50 https://cloud.r-project.org/web/checks/check_results_whoami.html
51 https://cloud.r-project.org/web/checks/check_results_xmlparsedata.html
52 https://cloud.r-project.org/web/checks/check_results_xopen.html
53 https://cloud.r-project.org/web/checks/check_results_zip.html
check_result version
1 OK, 12 NA
2 OK, 12 NA
3 OK, 12 NA
4 OK, 12 NA
5 OK, 12 NA
6 OK, 12 NA
7 OK, 12 NA
8 OK, 12 NA
9 OK, 12 NA
10 OK, 12 NA
11 ERROR, OK, 1, 11 NA
12 OK, 12 NA
13 OK, 12 NA
14 OK, 12 NA
15 OK, 12 NA
16 OK, 12 NA
17 NOTE, OK, 7, 5 NA
18 OK, 12 NA
19 OK, 12 NA
20 OK, 12 NA
21 NOTE, OK, 2, 10 NA
22 OK, 12 NA
23 OK, 12 NA
24 OK, 12 NA
25 NOTE, OK, 1, 11 NA
26 OK, 12 NA
27 OK, 12 NA
28 ERROR, OK, 1, 11 NA
29 OK, 12 NA
30 OK, 12 NA
31 OK, 12 NA
32 ERROR, OK, 1, 11 NA
33 OK, 12 NA
34 OK, 12 NA
35 OK, 12 NA
36 OK, 12 NA
37 OK, 12 NA
38 NOTE, OK, 1, 11 NA
39 NOTE, OK, 7, 5 NA
40 NOTE, OK, 1, 11 NA
41 OK, 12 NA
42 OK, 12 NA
43 OK, 12 NA
44 OK, 12 NA
45 OK, 12 NA
46 OK, 12 NA
47 OK, 12 NA
48 OK, 12 NA
49 ERROR, OK, 1, 11 NA
50 OK, 12 NA
51 OK, 12 NA
52 OK, 12 NA
53 ERROR, OK, 1, 11 NA
Packages
Get packages based checks.
Function of the cchecks R package: cch_pkgs().
Packages
Get checks data for all packages.
GET [/pkgs]
Default limit of 10, max of 1000.
Example with custom offset and limit.
curl https://cranchecks.info/pkgs/?offset=5&limit=2 | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 6793
date: Mon, 18 Jan 2021 13:34:38 GMT
{
"found": 18224,
"count": 2,
"offset": 5,
"error": null,
"data": [
{
"package": "ibb",
"url": "https://cloud.r-project.org/web/checks/check_results_ibb.html",
"date_updated": "2021-01-18T12:04:52.139Z",
"summary": {
"any": true,
"ok": 7,
"note": 5,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "0.0.1",
"tinstall": 3.64,
"tcheck": 39.93,
"ttotal": 43.57,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/ibb-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "0.0.1",
"tinstall": 2.95,
"tcheck": 30.09,
"ttotal": 33.04,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/ibb-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "0.0.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 61.04,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/ibb-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "0.0.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 50.06,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/ibb-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "0.0.1",
"tinstall": 7,
"tcheck": 45,
"ttotal": 52,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/ibb-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "0.0.1",
"tinstall": 3.66,
"tcheck": 37.57,
"ttotal": 41.23,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/ibb-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "0.0.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/ibb-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "0.0.1",
"tinstall": 3.05,
"tcheck": 37.32,
"ttotal": 40.37,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/ibb-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "0.0.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/ibb-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "0.0.1",
"tinstall": 8,
"tcheck": 44,
"ttotal": 52,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/ibb-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "0.0.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/ibb-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "0.0.1",
"tinstall": 7,
"tcheck": 37,
"ttotal": 44,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/ibb-00check.html"
}
],
"check_details": {
"details": [
{
"version": "0.0.1",
"output": "Namespace in Imports field not imported from: ‘xml2’\n All declared Imports should be used.",
"check": "dependencies in R code",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-solaris-x86",
"r-release-macos-x86_64",
"r-oldrel-macos-x86_64"
]
},
{
"version": "0.0.1",
"output": " Note: found 359 marked UTF-8 strings",
"check": "data for non-ASCII characters",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-solaris-x86",
"r-release-macos-x86_64",
"r-oldrel-macos-x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "ChIPtest",
"url": "https://cloud.r-project.org/web/checks/check_results_ChIPtest.html",
"date_updated": "2021-01-18T12:04:52.139Z",
"summary": {
"any": true,
"ok": 10,
"note": 2,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.0",
"tinstall": 3.3,
"tcheck": 25.26,
"ttotal": 28.56,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/ChIPtest-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.0",
"tinstall": 2.27,
"tcheck": 20.5,
"ttotal": 22.77,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/ChIPtest-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.0",
"tinstall": 0,
"tcheck": 0,
"ttotal": 45.65,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/ChIPtest-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.0",
"tinstall": 0,
"tcheck": 0,
"ttotal": 37.62,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/ChIPtest-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.0",
"tinstall": 8,
"tcheck": 41,
"ttotal": 49,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/ChIPtest-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.0",
"tinstall": 2.76,
"tcheck": 24.79,
"ttotal": 27.55,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/ChIPtest-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.0",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.7,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/ChIPtest-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.0",
"tinstall": 2.75,
"tcheck": 24.87,
"ttotal": 27.62,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/ChIPtest-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.0",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/ChIPtest-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.0",
"tinstall": 8,
"tcheck": 53,
"ttotal": 61,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/ChIPtest-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.0",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/ChIPtest-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.0",
"tinstall": 16,
"tcheck": 63,
"ttotal": 79,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/ChIPtest-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.0",
"output": "File ‘ChIPtest/libs/ChIPtest.so’:\n Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’\n\nIt is good practice to register native routines and to disable symbol\nsearch.\n\nSee ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.",
"check": "compiled code",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc"
]
}
],
"additional_issues": null
}
}
]
}
cchecks::cch_pkgs(
limit = 2,
offset = 5
)
$found
[1] 18224
$count
[1] 2
$offset
[1] 5
$error
NULL
$data
package url
1 ibb https://cloud.r-project.org/web/checks/check_results_ibb.html
2 ChIPtest https://cloud.r-project.org/web/checks/check_results_ChIPtest.html
date_updated summary.any summary.ok summary.note summary.warn
1 2021-01-18T12:04:52.139Z TRUE 7 5 0
2 2021-01-18T12:04:52.139Z TRUE 10 2 0
summary.error summary.fail
1 0 0
2 0 0
checks
1 r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 0.0.1, 3.64, 2.95, 0, 0, 7, 3.66, 0, 3.05, 0, 8, 0, 7, 39.93, 30.09, 0, 0, 45, 37.57, 0, 37.32, 0, 44, 0, 37, 43.57, 33.04, 61.04, 50.06, 52, 41.23, 68.3, 40.37, 0, 52, 0, 44, OK, OK, NOTE, NOTE, OK, OK, NOTE, OK, NOTE, OK, NOTE, OK, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/ibb-00check.html, https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/ibb-00check.html
2 r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 3.3, 2.27, 0, 0, 8, 2.76, 0, 2.75, 0, 8, 0, 16, 25.26, 20.5, 0, 0, 41, 24.79, 0, 24.87, 0, 53, 0, 63, 28.56, 22.77, 45.65, 37.62, 49, 27.55, 56.7, 27.62, 0, 61, 0, 79, OK, OK, NOTE, NOTE, OK, OK, OK, OK, OK, OK, OK, OK, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/ChIPtest-00check.html, https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/ChIPtest-00check.html
check_details.details
1 0.0.1, 0.0.1, Namespace in Imports field not imported from: ‘xml2’\n All declared Imports should be used., Note: found 359 marked UTF-8 strings, dependencies in R code, data for non-ASCII characters, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64
2 1.0, File ‘ChIPtest/libs/ChIPtest.so’:\n Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’\n\nIt is good practice to register native routines and to disable symbol\nsearch.\n\nSee ‘Writing portable packages’ in the ‘Writing R Extensions’ manual., compiled code, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
check_details.additional_issues
1 NA
2 NA
Packages by name
Get checks summary by package name.
Function of the cchecks package: cch_pkgs_history()
GET [/pkgs/{package}]
curl https://cranchecks.info/pkgs/rhub | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 2846
date: Mon, 18 Jan 2021 13:34:39 GMT
{
"error": null,
"data": {
"package": "rhub",
"url": "https://cloud.r-project.org/web/checks/check_results_rhub.html",
"date_updated": "2021-01-18T12:04:52.363Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 7.21,
"tcheck": 50.75,
"ttotal": 57.96,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.98,
"tcheck": 39.64,
"ttotal": 45.62,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 78.72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 83.64,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 61,
"ttotal": 73,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 7.81,
"tcheck": 48.09,
"ttotal": 55.9,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 97.4,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.16,
"tcheck": 48.8,
"ttotal": 54.96,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 60,
"ttotal": 72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 11,
"tcheck": 51,
"ttotal": 62,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
}
}
cchecks::cch_pkgs(x = "rhub")
$error
NULL
$data
$data$package
[1] "rhub"
$data$url
[1] "https://cloud.r-project.org/web/checks/check_results_rhub.html"
$data$date_updated
[1] "2021-01-18T12:04:52.363Z"
$data$summary
$data$summary$any
[1] FALSE
$data$summary$ok
[1] 12
$data$summary$note
[1] 0
$data$summary$warn
[1] 0
$data$summary$error
[1] 0
$data$summary$fail
[1] 0
$data$checks
flavor version tinstall tcheck ttotal status
1 r-devel-linux-x86_64-debian-clang 1.1.1 7.21 50.75 57.96 OK
2 r-devel-linux-x86_64-debian-gcc 1.1.1 5.98 39.64 45.62 OK
3 r-devel-linux-x86_64-fedora-clang 1.1.1 0.00 0.00 78.72 OK
4 r-devel-linux-x86_64-fedora-gcc 1.1.1 0.00 0.00 83.64 OK
5 r-devel-windows-ix86+x86_64 1.1.1 12.00 61.00 73.00 OK
6 r-patched-linux-x86_64 1.1.1 7.81 48.09 55.90 OK
7 r-patched-solaris-x86 1.1.1 0.00 0.00 97.40 OK
8 r-release-linux-x86_64 1.1.1 6.16 48.80 54.96 OK
9 r-release-macos-x86_64 1.1.1 0.00 0.00 0.00 OK
10 r-release-windows-ix86+x86_64 1.1.1 12.00 60.00 72.00 OK
11 r-oldrel-macos-x86_64 1.1.1 0.00 0.00 0.00 OK
12 r-oldrel-windows-ix86+x86_64 1.1.1 11.00 51.00 62.00 OK
check_url
1 https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html
2 https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html
3 https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html
4 https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html
5 https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html
6 https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html
7 https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html
8 https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html
9 https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html
10 https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html
11 https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html
12 https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html
$data$check_details
NULL
Packages by name (history)
Get checks history by package name.
GET [/pkgs]
Default limit of 10, max of 50.
GET [/pkgs/{package}/history]
curl https://cranchecks.info/pkgs/rhub/history | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 27942
date: Mon, 18 Jan 2021 13:34:39 GMT
{
"error": null,
"data": {
"package": "rhub",
"history": [
{
"date_updated": "2021-01-17T15:03:50.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.62,
"tcheck": 50.68,
"ttotal": 57.3,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.04,
"tcheck": 39.49,
"ttotal": 44.53,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 78.72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 86.42,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 61,
"ttotal": 73,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 7.81,
"tcheck": 48.09,
"ttotal": 55.9,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 97.4,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.16,
"tcheck": 48.8,
"ttotal": 54.96,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 60,
"ttotal": 72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 11,
"tcheck": 51,
"ttotal": 62,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
},
{
"date_updated": "2021-01-16T15:03:48.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.62,
"tcheck": 50.68,
"ttotal": 57.3,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.72,
"tcheck": 39.33,
"ttotal": 45.05,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 86.42,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 61,
"ttotal": 73,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 5.87,
"tcheck": 48.44,
"ttotal": 54.31,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 97.4,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.16,
"tcheck": 48.8,
"ttotal": 54.96,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 60,
"ttotal": 72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 11,
"tcheck": 51,
"ttotal": 62,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
},
{
"date_updated": "2021-01-15T15:03:48.000Z",
"summary": {
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 7.15,
"tcheck": 50.54,
"ttotal": 57.69,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.87,
"tcheck": 39.54,
"ttotal": 45.41,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 84.13,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 15,
"tcheck": 15,
"ttotal": 30,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 5.87,
"tcheck": 48.44,
"ttotal": 54.31,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.83,
"tcheck": 48.42,
"ttotal": 55.25,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 60,
"ttotal": 72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.1.1",
"output": "Installation failed.",
"check": "whether package can be installed",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"date_updated": "2021-01-14T15:03:50.000Z",
"summary": {
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 7.15,
"tcheck": 50.54,
"ttotal": 57.69,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.76,
"tcheck": 38.68,
"ttotal": 44.44,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 84.13,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 15,
"tcheck": 15,
"ttotal": 30,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.47,
"tcheck": 49.14,
"ttotal": 55.61,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.83,
"tcheck": 48.42,
"ttotal": 55.25,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 12,
"tcheck": 60,
"ttotal": 72,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.1.1",
"output": "Installation failed.",
"check": "whether package can be installed",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"date_updated": "2021-01-13T15:03:54.000Z",
"summary": {
"any": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.58,
"tcheck": 50.68,
"ttotal": 57.26,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.89,
"tcheck": 38.93,
"ttotal": 44.82,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 84.13,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 15,
"tcheck": 15,
"ttotal": 30,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.47,
"tcheck": 49.14,
"ttotal": 55.61,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.21,
"tcheck": 48.9,
"ttotal": 55.11,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 67,
"ttotal": 81,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.1.1",
"output": "Installation failed.",
"check": "whether package can be installed",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"date_updated": "2021-01-12T15:03:51.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.58,
"tcheck": 50.68,
"ttotal": 57.26,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.54,
"tcheck": 39.24,
"ttotal": 44.78,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 84.13,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 73,
"ttotal": 87,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.74,
"tcheck": 48.79,
"ttotal": 55.53,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.21,
"tcheck": 48.9,
"ttotal": 55.11,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 67,
"ttotal": 81,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
},
{
"date_updated": "2021-01-11T15:03:57.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.58,
"tcheck": 50.68,
"ttotal": 57.26,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.29,
"tcheck": 38.85,
"ttotal": 44.14,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 84.13,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 73,
"ttotal": 87,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.74,
"tcheck": 48.79,
"ttotal": 55.53,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.2,
"tcheck": 48.08,
"ttotal": 54.28,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 11,
"tcheck": 76,
"ttotal": 87,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
},
{
"date_updated": "2021-01-10T15:03:54.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.61,
"tcheck": 50.85,
"ttotal": 57.46,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.63,
"tcheck": 39.02,
"ttotal": 44.65,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 79.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 81.92,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 73,
"ttotal": 87,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.74,
"tcheck": 48.79,
"ttotal": 55.53,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.2,
"tcheck": 48.08,
"ttotal": 54.28,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 11,
"tcheck": 76,
"ttotal": 87,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
},
{
"date_updated": "2021-01-09T15:03:48.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 6.61,
"tcheck": 50.85,
"ttotal": 57.46,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.66,
"tcheck": 39.16,
"ttotal": 44.82,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 78.8,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 81.92,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 60,
"ttotal": 74,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 7.64,
"tcheck": 48.28,
"ttotal": 55.92,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 6.2,
"tcheck": 48.08,
"ttotal": 54.28,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 11,
"tcheck": 76,
"ttotal": 87,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
},
{
"date_updated": "2021-01-08T15:03:50.000Z",
"summary": {
"any": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.1.1",
"tinstall": 5.51,
"tcheck": 39.3,
"ttotal": 44.81,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 78.8,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 81.92,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/rhub-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 14,
"tcheck": 60,
"ttotal": 74,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.1.1",
"tinstall": 7.64,
"tcheck": 48.28,
"ttotal": 55.92,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 98.5,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.1.1",
"tinstall": 7.7,
"tcheck": 47.87,
"ttotal": 55.57,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 15,
"tcheck": 71,
"ttotal": 86,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.1.1",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/rhub-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.1.1",
"tinstall": 10,
"tcheck": 48,
"ttotal": 58,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
"check_details": null
}
]
}
}
cchecks::cch_pkgs_history(x = "rhub")
$error
NULL
$data
$data$package
[1] "rhub"
$data$history
[90m# A tibble: 30 x 4[39m
date_updated summary$any $ok $note $warn $error $fail checks
[3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<list>[39m[23m
[90m 1[39m 2021-01-17T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 2[39m 2021-01-16T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 3[39m 2021-01-15T… TRUE 11 0 0 1 0 [90m<df[,[0m…
[90m 4[39m 2021-01-14T… TRUE 11 0 0 1 0 [90m<df[,[0m…
[90m 5[39m 2021-01-13T… TRUE 11 0 0 1 0 [90m<df[,[0m…
[90m 6[39m 2021-01-12T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 7[39m 2021-01-11T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 8[39m 2021-01-10T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 9[39m 2021-01-09T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m10[39m 2021-01-08T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m# … with 20 more rows, and 2 more variables: check_details$details [3m[90m<list>[90m[23m,[39m
[90m# $additional_issues [3m[90m<lgl>[90m[23m[39m
For historical data across packages see the history endpoint.
Badges
Get packages based checks to display in your package README for instance.
In a Markdown-based README to add a badge you just need something like .
You might want the badge to point at either the CRAN results page or the CRAN checks API page i.e. either
[](https://cran.r-project.org/web/checks/check_results_rhub.html) to obtain .
or
[](https://cranchecks.info/pkgs/rhub) to obtain .
Summary badges
Get badge for CRAN checks summary by package name.
GET [/badges/summary/{package_name}]
[](https://cranchecks.info/pkgs/rhub) gives .
curl https://cranchecks.info/badges/summary/rhub
HTTP/2 200
cache-control: max-age=300, public
content-type: image/svg+xml; charset=utf-8
expires: Mon, 18 Jan 2021 13:39:23 GMT
server: Caddy
x-content-type-options: nosniff
content-length: 855
date: Mon, 18 Jan 2021 13:34:23 GMT
<?xml version="1.0" encoding="UTF-8"?>
<svg xmlns="http://www.w3.org/2000/svg" width="70" height="20">
<linearGradient id="b" x2="0" y2="100%">
<stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
<stop offset="1" stop-opacity=".1"/>
</linearGradient>
<mask id="a">
<rect width="70" height="20" rx="3" fill="#fff"/>
</mask>
<g mask="url(#a)">
<path fill="#555" d="M0 0h43v20H0z"/>
<path fill="#4c1" d="M43 0h46.5v20H43z"/>
<path fill="url(#b)" d="M0 0h70v20H0z"/>
</g>
<g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="11">
<text x="21.5" y="15" fill="#010101" fill-opacity=".3">
CRAN
</text>
<text x="21.5" y="14">
CRAN
</text>
<text x="55.5" y="15" fill="#010101" fill-opacity=".3">
OK
</text>
<text x="55.5" y="14">
OK
</text>
</g>
</svg>
Worst badges
Get badge for CRAN checks worst result by package name. 😰
GET [/badges/worst/{package_name}]
[](https://cranchecks.info/pkgs/rhub) gives .
curl https://cranchecks.info/badges/worst/rhub
HTTP/2 200
cache-control: max-age=300, public
content-type: image/svg+xml; charset=utf-8
expires: Mon, 18 Jan 2021 13:39:24 GMT
server: Caddy
x-content-type-options: nosniff
content-length: 855
date: Mon, 18 Jan 2021 13:34:24 GMT
<?xml version="1.0" encoding="UTF-8"?>
<svg xmlns="http://www.w3.org/2000/svg" width="70" height="20">
<linearGradient id="b" x2="0" y2="100%">
<stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
<stop offset="1" stop-opacity=".1"/>
</linearGradient>
<mask id="a">
<rect width="70" height="20" rx="3" fill="#fff"/>
</mask>
<g mask="url(#a)">
<path fill="#555" d="M0 0h43v20H0z"/>
<path fill="#4c1" d="M43 0h46.5v20H43z"/>
<path fill="url(#b)" d="M0 0h70v20H0z"/>
</g>
<g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="11">
<text x="21.5" y="15" fill="#010101" fill-opacity=".3">
CRAN
</text>
<text x="21.5" y="14">
CRAN
</text>
<text x="55.5" y="15" fill="#010101" fill-opacity=".3">
OK
</text>
<text x="55.5" y="14">
OK
</text>
</g>
</svg>
Flavor badges
Get badge for summary of CRAN checks by flavor and package name.
GET [/badges/flavor/{flavor}/{package}]
[](https://cranchecks.info/pkgs/rhub) gives .
curl https://cranchecks.info/badges/flavor/r-devel-linux-x86_64-debian-clang/rhub
HTTP/2 200
cache-control: max-age=300, public
content-type: image/svg+xml; charset=utf-8
expires: Mon, 18 Jan 2021 13:39:24 GMT
server: Caddy
x-content-type-options: nosniff
content-length: 855
date: Mon, 18 Jan 2021 13:34:24 GMT
<?xml version="1.0" encoding="UTF-8"?>
<svg xmlns="http://www.w3.org/2000/svg" width="70" height="20">
<linearGradient id="b" x2="0" y2="100%">
<stop offset="0" stop-color="#bbb" stop-opacity=".1"/>
<stop offset="1" stop-opacity=".1"/>
</linearGradient>
<mask id="a">
<rect width="70" height="20" rx="3" fill="#fff"/>
</mask>
<g mask="url(#a)">
<path fill="#555" d="M0 0h43v20H0z"/>
<path fill="#4c1" d="M43 0h46.5v20H43z"/>
<path fill="url(#b)" d="M0 0h70v20H0z"/>
</g>
<g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="11">
<text x="21.5" y="15" fill="#010101" fill-opacity=".3">
CRAN
</text>
<text x="21.5" y="14">
CRAN
</text>
<text x="55.5" y="15" fill="#010101" fill-opacity=".3">
OK
</text>
<text x="55.5" y="14">
OK
</text>
</g>
</svg>
History
The /history/:date route allows GET requests only. The route is intended for fetching compressed new-line delimited JSON for an individual date, where all CRAN checks data across all packages is combined.
Parameter:
:date- should be of the form
YYYY-MM-DD, the minimal value is 2018-12-18.
A request to /history/:date leads to a redirect (http status 302) and a returned JSON body with a message telling the user to follow the link in the Location response header in case they aren’t familiar with redirects. The link to follow is a temporary Amazon S3 link to the JSON file for the given date.
One can automatically get the link to the JSON file by following the redirect. You can do this in curl with the -L flag, or in R by using the followlocation curl option like followlocation=1.
An important note is the data in the JSON file is NOT valid JSON as an entire entity. Each line of the file IS valid JSON; called newline delimited JSON (NDJSON). You don’t have to worry about these details if you use cchecks::cch_history(), which takes care of downloading the file and reading in the compressed NDJSON. On the command line, you can do e.g, download the file, save to a .json.gz gzip-compressed file extension, then in the next line decompress the file with gzip, then pipe to jq, and use head to get the first 10 lines
curl -vL https://cranchecks.info/history/2020-04-01 > 2020-04-01.json.gz
gzip -dc 2020-04-01.json.gz | jq . | head -n 2
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0* Trying 52.34.4.0:443...
* Connected to cranchecks.info (52.34.4.0) port 443 (#0)
* ALPN, offering h2
* ALPN, offering http/1.1
* successfully set certificate verify locations:
* CAfile: /usr/local/etc/openssl@1.1/cert.pem
* CApath: /usr/local/etc/openssl@1.1/certs
} [5 bytes data]
* TLSv1.3 (OUT), TLS handshake, Client hello (1):
} [512 bytes data]
* TLSv1.3 (IN), TLS handshake, Server hello (2):
{ [122 bytes data]
* TLSv1.3 (IN), TLS handshake, Encrypted Extensions (8):
{ [15 bytes data]
* TLSv1.3 (IN), TLS handshake, Certificate (11):
{ [2264 bytes data]
* TLSv1.3 (IN), TLS handshake, CERT verify (15):
{ [79 bytes data]
* TLSv1.3 (IN), TLS handshake, Finished (20):
{ [36 bytes data]
* TLSv1.3 (OUT), TLS change cipher, Change cipher spec (1):
} [1 bytes data]
* TLSv1.3 (OUT), TLS handshake, Finished (20):
} [36 bytes data]
* SSL connection using TLSv1.3 / TLS_AES_128_GCM_SHA256
* ALPN, server accepted to use h2
* Server certificate:
* subject: CN=cranchecks.info
* start date: Jan 16 16:57:32 2021 GMT
* expire date: Apr 16 16:57:32 2021 GMT
* subjectAltName: host "cranchecks.info" matched cert's "cranchecks.info"
* issuer: C=US; O=Let's Encrypt; CN=R3
* SSL certificate verify ok.
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0* Using HTTP2, server supports multi-use
* Connection state changed (HTTP/2 confirmed)
* Copying HTTP/2 data in stream buffer to connection buffer after upgrade: len=0
} [5 bytes data]
* Using Stream ID: 1 (easy handle 0x7f831800ba00)
} [5 bytes data]
> GET /history/2020-04-01 HTTP/2
> Host: cranchecks.info
> user-agent: curl/7.74.0
> accept: */*
>
{ [5 bytes data]
* TLSv1.3 (IN), TLS handshake, Newsession Ticket (4):
{ [130 bytes data]
* Connection state changed (MAX_CONCURRENT_STREAMS == 250)!
} [5 bytes data]
< HTTP/2 302
< access-control-allow-methods: HEAD, GET
< access-control-allow-origin: *
< cache-control: public, must-revalidate, max-age=60
< content-type: application/json; charset=utf8
< location: https://cchecks-history.s3.us-west-2.amazonaws.com/2020-04-01.json.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIE65F6ZPF3JF7JTA%2F20210118%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20210118T133426Z&X-Amz-Expires=900&X-Amz-SignedHeaders=host&X-Amz-Signature=0585f2d7a51cb1a97a702d357e6fedc383ce6725483cd89373054e719c2ab6b2
< server: Caddy
< x-content-type-options: nosniff
< content-length: 101
< date: Mon, 18 Jan 2021 13:34:26 GMT
<
{ [5 bytes data]
* Ignoring the response-body
{ [101 bytes data]
100 101 100 101 0 0 247 0 --:--:-- --:--:-- --:--:-- 246
* Connection #0 to host cranchecks.info left intact
* Issue another request to this URL: 'https://cchecks-history.s3.us-west-2.amazonaws.com/2020-04-01.json.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIE65F6ZPF3JF7JTA%2F20210118%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20210118T133426Z&X-Amz-Expires=900&X-Amz-SignedHeaders=host&X-Amz-Signature=0585f2d7a51cb1a97a702d357e6fedc383ce6725483cd89373054e719c2ab6b2'
* Trying 52.218.246.145:443...
* Connected to cchecks-history.s3.us-west-2.amazonaws.com (52.218.246.145) port 443 (#1)
* ALPN, offering h2
* ALPN, offering http/1.1
* successfully set certificate verify locations:
* CAfile: /usr/local/etc/openssl@1.1/cert.pem
* CApath: /usr/local/etc/openssl@1.1/certs
} [5 bytes data]
* TLSv1.3 (OUT), TLS handshake, Client hello (1):
} [512 bytes data]
* TLSv1.3 (IN), TLS handshake, Server hello (2):
{ [91 bytes data]
* TLSv1.2 (IN), TLS handshake, Certificate (11):
{ [3269 bytes data]
* TLSv1.2 (IN), TLS handshake, Server key exchange (12):
{ [333 bytes data]
* TLSv1.2 (IN), TLS handshake, Server finished (14):
{ [4 bytes data]
* TLSv1.2 (OUT), TLS handshake, Client key exchange (16):
} [70 bytes data]
* TLSv1.2 (OUT), TLS change cipher, Change cipher spec (1):
} [1 bytes data]
* TLSv1.2 (OUT), TLS handshake, Finished (20):
} [16 bytes data]
* TLSv1.2 (IN), TLS handshake, Finished (20):
{ [16 bytes data]
* SSL connection using TLSv1.2 / ECDHE-RSA-AES128-GCM-SHA256
* ALPN, server did not agree to a protocol
* Server certificate:
* subject: C=US; ST=Washington; L=Seattle; O=Amazon.com, Inc.; CN=*.s3-us-west-2.amazonaws.com
* start date: Jul 30 00:00:00 2020 GMT
* expire date: Aug 4 12:00:00 2021 GMT
* subjectAltName: host "cchecks-history.s3.us-west-2.amazonaws.com" matched cert's "*.s3.us-west-2.amazonaws.com"
* issuer: C=US; O=DigiCert Inc; OU=www.digicert.com; CN=DigiCert Baltimore CA-2 G2
* SSL certificate verify ok.
} [5 bytes data]
> GET /2020-04-01.json.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIE65F6ZPF3JF7JTA%2F20210118%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20210118T133426Z&X-Amz-Expires=900&X-Amz-SignedHeaders=host&X-Amz-Signature=0585f2d7a51cb1a97a702d357e6fedc383ce6725483cd89373054e719c2ab6b2 HTTP/1.1
> Host: cchecks-history.s3.us-west-2.amazonaws.com
> User-Agent: curl/7.74.0
> Accept: */*
>
{ [5 bytes data]
* Mark bundle as not supporting multiuse
< HTTP/1.1 200 OK
< x-amz-id-2: 12y3EzR0dRi4IFR2VZa8kYI3qz5UnnnbMs5gu0NKpwCCw3pZqxkMFqY5nGp7WtbWDBa0aQ4a38Y=
< x-amz-request-id: E62A077A67479BF2
< Date: Mon, 18 Jan 2021 13:34:27 GMT
< Last-Modified: Wed, 01 Apr 2020 16:36:04 GMT
< ETag: "a7d74593672aa52dace5cd9e62db9351"
< Content-Encoding: gzip
< Accept-Ranges: bytes
< Content-Type: application/json
< Content-Length: 5180606
< Server: AmazonS3
<
{ [5 bytes data]
5 5059k 5 270k 0 0 241k 0 0:00:20 0:00:01 0:00:19 241k
100 5059k 100 5059k 0 0 3588k 0 0:00:01 0:00:01 --:--:-- 16.2M
* Connection #1 to host cchecks-history.s3.us-west-2.amazonaws.com left intact
{
"package": "localIV",
⚠️ 💡 For historical data by package refer to the package history endpoint.
cchecks::cch_history("2020-04-01")
# opening file input connection.
Found 500 records...
Found 1000 records...
Found 1500 records...
Found 2000 records...
Found 2500 records...
Found 3000 records...
Found 3500 records...
Found 4000 records...
Found 4500 records...
Found 5000 records...
Found 5500 records...
Found 6000 records...
Found 6500 records...
Found 7000 records...
Found 7500 records...
Found 8000 records...
Found 8500 records...
Found 9000 records...
Found 9500 records...
Found 10000 records...
Found 10500 records...
Found 11000 records...
Found 11500 records...
Found 12000 records...
Found 12500 records...
Found 13000 records...
Found 13500 records...
Found 14000 records...
Found 14500 records...
Found 15000 records...
Found 15500 records...
Found 16000 records...
Found 16327 records...
Imported 16327 records. Simplifying...
# closing file input connection.
# A tibble: 16,327 x 5
package summary checks check_details date_updated
<chr> <chr> <chr> <chr> <chr>
1 localIV "{\"any\":false,\… "[{\"flavor\":\"r-… "null" 2020-04-01 1…
2 di "{\"any\":false,\… "[{\"flavor\":\"r-… "null" 2020-04-01 1…
3 GAR "{\"any\":true,\"… "[{\"flavor\":\"r-… "{\"version\":\"1.1\",\"… 2020-04-01 1…
4 MetABEL "{\"any\":true,\"… "[{\"flavor\":\"r-… "{\"version\":\"0.2-0\",… 2020-04-01 1…
5 quantab… "{\"any\":false,\… "[{\"flavor\":\"r-… "null" 2020-04-01 1…
6 ChIPtest "{\"any\":true,\"… "[{\"flavor\":\"r-… "{\"version\":\"1.0\",\"… 2020-04-01 1…
7 TSF "{\"any\":false,\… "[{\"flavor\":\"r-… "null" 2020-04-01 1…
8 apercu "{\"any\":true,\"… "[{\"flavor\":\"r-… "{\"version\":\"0.2.4\",… 2020-04-01 1…
9 SPRT "{\"any\":true,\"… "[{\"flavor\":\"r-… "{\"version\":\"1.0\",\"… 2020-04-01 1…
10 W2CWM2C "{\"any\":false,\… "[{\"flavor\":\"r-… "null" 2020-04-01 1…
# … with 16,317 more rows
Search
Search package history data.
This is a full text search ONLY of the output in check_details field.
Function of the cchecks package: cch_pkgs_search()
GET [/search]
Parameters:
- q (string)
- full text query, e.g, q=memory
- package (string)
- a package name. limit results to a single package, e.g, package=taxize
- one_each (boolean)
- if true, return a single result for each package; useful if you want to find out what packages have match a particular query, and don’t care which day that match happened. default: false; e.g., one_each=true
- fields (string)
- comma separated string with field to return, e.g., fields=package,check_details
- limit/offset
- see pagination docs. Max of 50.
curl https://cranchecks.info/search?q=memory | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 198862
date: Mon, 18 Jan 2021 13:34:59 GMT
{
"error": null,
"count": 1312,
"returned": 10,
"data": [
{
"package": "allan",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 3.12,
"tcheck": 33.95,
"ttotal": 37.07,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.21,
"tcheck": 27.61,
"ttotal": 29.82,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 55.86,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 56,
"ttotal": 63,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.03,
"tcheck": 33.15,
"ttotal": 36.18,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 72.6,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.82,
"tcheck": 32.69,
"ttotal": 35.51,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 44,
"ttotal": 49,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 56,
"ttotal": 60,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpUZ1rpl/RLIBS_af4e41a7340b2/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpUZ1rpl/RLIBS_af4e41a7340b2/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-20T15:03:46.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 3.12,
"tcheck": 33.95,
"ttotal": 37.07,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.17,
"tcheck": 27.08,
"ttotal": 29.25,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 56,
"ttotal": 63,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.18,
"tcheck": 33.09,
"ttotal": 36.27,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 72.6,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.82,
"tcheck": 32.69,
"ttotal": 35.51,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 44,
"ttotal": 49,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 56,
"ttotal": 60,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpUZ1rpl/RLIBS_af4e41a7340b2/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpUZ1rpl/RLIBS_af4e41a7340b2/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-21T15:03:46.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.52,
"tcheck": 34.4,
"ttotal": 36.92,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.27,
"tcheck": 27,
"ttotal": 29.27,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 56,
"ttotal": 63,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.18,
"tcheck": 33.09,
"ttotal": 36.27,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 72.6,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.82,
"tcheck": 32.69,
"ttotal": 35.51,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 44,
"ttotal": 49,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 55,
"ttotal": 59,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-22T15:03:50.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.52,
"tcheck": 34.4,
"ttotal": 36.92,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.02,
"tcheck": 26.98,
"ttotal": 29,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.18,
"tcheck": 33.09,
"ttotal": 36.27,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 72.6,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.93,
"tcheck": 32.65,
"ttotal": 35.58,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 44,
"ttotal": 49,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 55,
"ttotal": 59,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-23T15:03:51.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.52,
"tcheck": 34.4,
"ttotal": 36.92,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.34,
"tcheck": 26.95,
"ttotal": 29.29,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 2.58,
"tcheck": 32.52,
"ttotal": 35.1,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.93,
"tcheck": 32.65,
"ttotal": 35.58,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 44,
"ttotal": 51,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 55,
"ttotal": 59,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-24T15:03:50.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 3.01,
"tcheck": 33.83,
"ttotal": 36.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.15,
"tcheck": 26.76,
"ttotal": 28.91,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 2.58,
"tcheck": 32.52,
"ttotal": 35.1,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.48,
"tcheck": 33.06,
"ttotal": 35.54,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 44,
"ttotal": 51,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 55,
"ttotal": 59,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpqmoeTz/RLIBS_8a5d4049f25a8a/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-25T15:03:55.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.79,
"tcheck": 33.89,
"ttotal": 36.68,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.3,
"tcheck": 27.05,
"ttotal": 29.35,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 2.77,
"tcheck": 32.71,
"ttotal": 35.48,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.48,
"tcheck": 33.06,
"ttotal": 35.54,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 44,
"ttotal": 51,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 45,
"ttotal": 50,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-26T15:03:50.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.79,
"tcheck": 33.89,
"ttotal": 36.68,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.31,
"tcheck": 26.92,
"ttotal": 29.23,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 56.84,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 2.77,
"tcheck": 32.71,
"ttotal": 35.48,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.62,
"tcheck": 33.04,
"ttotal": 35.66,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 44,
"ttotal": 51,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 45,
"ttotal": 50,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-27T15:03:49.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.83,
"tcheck": 33.51,
"ttotal": 36.34,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.21,
"tcheck": 27.24,
"ttotal": 29.45,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 54.98,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.13,
"tcheck": 32.65,
"ttotal": 35.78,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.62,
"tcheck": 33.04,
"ttotal": 35.66,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 44,
"ttotal": 51,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 45,
"ttotal": 50,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "allan",
"date_updated": "2020-12-28T15:03:53.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 2.83,
"tcheck": 33.51,
"ttotal": 36.34,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.34,
"tcheck": 28.09,
"ttotal": 30.43,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 54.98,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.95,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 6,
"tcheck": 51,
"ttotal": 57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.13,
"tcheck": 32.65,
"ttotal": 35.78,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 68.3,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.62,
"tcheck": 33.04,
"ttotal": 35.66,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 44,
"ttotal": 51,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 45,
"ttotal": 50,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuEtbIA/RLIBS_7e4e3c4b9170b5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpMPpWqD/RLIBS_234cf04a0154d3/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp0gTt97/RLIBS_307427d72119/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
}
]
}
cchecks::cch_pkgs_search(q = "memory")
$error
NULL
$count
[1] 1312
$returned
[1] 30
$data
[90m# A tibble: 30 x 5[39m
package date_updated summary$any $ok $note $warn $error $fail checks
[3m[90m<chr>[39m[23m [3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<list>[39m[23m
[90m 1[39m allan 2020-12-19T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 2[39m allan 2020-12-20T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 3[39m allan 2020-12-21T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 4[39m allan 2020-12-22T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 5[39m allan 2020-12-23T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 6[39m allan 2020-12-24T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 7[39m allan 2020-12-25T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 8[39m allan 2020-12-26T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 9[39m allan 2020-12-27T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m10[39m allan 2020-12-28T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m# … with 20 more rows, and 2 more variables: check_details$details [3m[90m<list>[90m[23m,[39m
[90m# $additional_issues [3m[90m<lgl>[90m[23m[39m
curl https://cranchecks.info/search?q=memory&one_each=true&limit=2 | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 54979
date: Mon, 18 Jan 2021 13:35:18 GMT
{
"error": null,
"count": 57,
"returned": 2,
"data": [
{
"package": "allan",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 9,
"warn": 0,
"error": 3,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "1.01",
"tinstall": 3.12,
"tcheck": 33.95,
"ttotal": 37.07,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "1.01",
"tinstall": 2.21,
"tcheck": 27.61,
"ttotal": 29.82,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 55.86,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/allan-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 44.83,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/allan-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 7,
"tcheck": 56,
"ttotal": 63,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "1.01",
"tinstall": 3.03,
"tcheck": 33.15,
"ttotal": 36.18,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 72.6,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/allan-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "1.01",
"tinstall": 2.82,
"tcheck": 32.69,
"ttotal": 35.51,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/allan-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 5,
"tcheck": 44,
"ttotal": 49,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "1.01",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/allan-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "1.01",
"tinstall": 4,
"tcheck": 56,
"ttotal": 60,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/allan-00check.html"
}
],
"check_details": {
"details": [
{
"version": "1.01",
"output": "Malformed Description field: should contain one or more complete sentences.",
"check": "DESCRIPTION meta-information",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "allanVarSelect: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'read.csv'\nfitvbiglm: no visible global function definition for 'update'\ngetbestchunksize: no visible global function definition for 'read.csv'\ngetbestchunksize: no visible global function definition for\n 'object.size'\npredictvbiglm: no visible global function definition for 'read.csv'\npredictvbiglm: no visible global function definition for 'predict'\npredictvbiglm: no visible global function definition for\n 'weighted.mean'\nreadinbigdata : <anonymous>: no visible global function definition for\n 'read.csv'\nUndefined global functions or variables:\n object.size predict read.csv update weighted.mean\nConsider adding\n importFrom(\"stats\", \"predict\", \"update\", \"weighted.mean\")\n importFrom(\"utils\", \"object.size\", \"read.csv\")\nto your NAMESPACE file.",
"check": "R code for possible problems",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "prepare_Rd: allan-package.Rd:49-51: Dropping empty section \\seealso\nprepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \\details\nprepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \\references\nprepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \\seealso\nprepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \\details\nprepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \\note\nprepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \\references\nprepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \\seealso\nprepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \\details\nprepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \\note\nprepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \\references\nprepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \\seealso\nprepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \\details\nprepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \\note\nprepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \\references\nprepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \\seealso\nprepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \\note\nprepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \\seealso",
"check": "Rd files",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-devel-windows-ix86+x86_64",
"r-patched-linux-x86_64",
"r-patched-solaris-x86",
"r-release-linux-x86_64",
"r-release-macos-x86_64",
"r-release-windows-ix86+x86_64",
"r-oldrel-macos-x86_64",
"r-oldrel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Rd file 'allan-package.Rd':\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)\n\nRd file 'allanVarSelect.Rd':\n \\usage lines wider than 90 characters:\n allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = \"AIC\", currentchunksize = -1, si ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'fitvbiglm.Rd':\n \\usage lines wider than 90 characters:\n fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n\nRd file 'getbestchunksize.Rd':\n \\usage lines wider than 90 characters:\n getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)\n \\examples lines wider than 100 characters:\n #This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory\n #used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead\n\nRd file 'predictvbiglm.Rd':\n \\usage lines wider than 90 characters:\n predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]\n \\examples lines wider than 100 characters:\n bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]\n currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]\n weightvector<-as.vector(eval(parse(text=paste(\"CurrentDataSet\",\"$\",weightname,sep=\"\"))))\n CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)\n\nRd file 'readinbigdata.Rd':\n \\examples lines wider than 100 characters:\n #The return value is either the next chunk of data or NULL if there is no additional data left.\n #Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.\n\nThese lines will be truncated in the PDF manual.",
"check": "Rd line widths",
"flavors": [
"r-devel-linux-x86_64-debian-clang",
"r-devel-linux-x86_64-debian-gcc",
"r-devel-linux-x86_64-fedora-clang",
"r-devel-linux-x86_64-fedora-gcc",
"r-patched-linux-x86_64",
"r-release-linux-x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpw3Qwsc/RLIBS_b627c072bb3a84/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-devel-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpq4JFjl/RLIBS_705f643cb03201/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-release-windows-ix86+x86_64"
]
},
{
"version": "1.01",
"output": "Running examples in 'allan-Ex.R' failed\nThe error most likely occurred in:\n\n> ### Name: allanVarSelect\n> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear\n> ### Models\n> ### Aliases: allanVarSelect\n> ### Keywords: stepwise linear regression memory\n> \n> ### ** Examples\n> \n> #Get external data. For your own data skip this next line and replace all\n> #instance of SampleData with \"YourFile.csv\".\n> SampleData=system.file(\"extdata\",\"SampleDataFile.csv\", package = \"allan\")\n> \n> #fit smaller data to biglm object\n> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))\n> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)\n> datafeed(TRUE)\n> firstchunk<-datafeed(FALSE)\n> \n> #create a biglm model from the small chunk with all variables that will be consdered\n> #for variable selection.\n> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)\n> \n> #now run variable selection\n> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria=\"MSE\",silent=FALSE)\n[1] \"Total memory usage for 1000 lines:\"\n110560 bytes\n[1] \"Chunksize for dataframe after adjustment factor:\"\n[1] 429630\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\" \n \n \"cont3\" \"1\" \n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Iterating Through Dataset and Updating Coefficients\"\n[1] \"Criteria:MSE\"\n[1] \"Iteration Result\"\n AICValue BICValue MSEValue \n \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\" \n \n \"cont1\" \"2\" \n[1] \"Final Results of Variable Selection:\"\n AICValue BICValue MSEValue \nIterationSummary \"1529253.65122942\" \"1529265.34987705\" \"1.29997019294336e+129\"\nIterationSummary \"1529255.65122942\" \"1529273.19920087\" \"1.29902541076004e+129\"\n \nIterationSummary \"cont3\" \"1\"\nIterationSummary \"cont1\" \"2\"\n[1] \"Results Stored in $SelectionSummary\"\n> \n> \n> \n> \n> \n> \n> \n> cleanEx()\nWarning in .Internal(gc(verbose, reset, full)) :\n closing unused connection 3 (D:/temp/RtmpUZ1rpl/RLIBS_af4e41a7340b2/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpUZ1rpl/RLIBS_af4e41a7340b2/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
"check": "examples",
"flavors": [
"r-oldrel-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
},
{
"package": "antaresViz",
"date_updated": "2021-01-12T15:03:51.000Z",
"summary": {
"any": true,
"ok": 6,
"note": 0,
"warn": 0,
"error": 6,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "0.15.3",
"tinstall": 23.41,
"tcheck": 301.81,
"ttotal": 325.22,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/antaresViz-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "0.15.3",
"tinstall": 18.23,
"tcheck": 299.34,
"ttotal": 317.57,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/antaresViz-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "0.15.3",
"tinstall": 0,
"tcheck": 0,
"ttotal": 377.3,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/antaresViz-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "0.15.3",
"tinstall": 0,
"tcheck": 0,
"ttotal": 348.69,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/antaresViz-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "0.15.3",
"tinstall": 154,
"tcheck": 314,
"ttotal": 468,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/antaresViz-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "0.15.3",
"tinstall": 22.18,
"tcheck": 297.17,
"ttotal": 319.35,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/antaresViz-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "0.15.3",
"tinstall": 0,
"tcheck": 0,
"ttotal": 490.5,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/antaresViz-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "0.15.3",
"tinstall": 23.96,
"tcheck": 295.88,
"ttotal": 319.84,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/antaresViz-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "0.15.3",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/antaresViz-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "0.15.3",
"tinstall": 46,
"tcheck": 364,
"ttotal": 410,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/antaresViz-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "0.15.3",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/antaresViz-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "0.15.3",
"tinstall": 34,
"tcheck": 247,
"ttotal": 281,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/antaresViz-00check.html"
}
],
"check_details": {
"details": [
{
"version": "0.15.3",
"output": " Running 'testthat.R' [125s/75s]\nRunning the tests in 'tests/testthat.R' failed.\nComplete output:\n > library(testthat)\n > library(antaresViz)\n Loading required package: antaresRead\n Loading required package: antaresProcessing\n \n Attaching package: 'antaresProcessing'\n \n The following object is masked from 'package:testthat':\n \n compare\n \n Loading required package: spMaps\n Loading required package: sp\n Loading required package: raster\n \n Attaching package: 'raster'\n \n The following object is masked from 'package:antaresProcessing':\n \n getValues\n \n Loading required package: rgeos\n rgeos version: 0.5-5, (SVN revision 640)\n GEOS runtime version: 3.9.0-CAPI-1.16.2 \n Linking to sp version: 1.4-4 \n Polygon checking: TRUE \n \n > \n > test_check(\"antaresViz\")\n == Skipped tests ===============================================================\n * .runExchangesStackTest is not TRUE (8)\n * .runPlotMapTest is not TRUE (1)\n * .runProdStackTest is not TRUE (4)\n * .runTsPlotTest is not TRUE (1)\n \n == Warnings ====================================================================\n -- Warning (test-exchangesStack.R:5:3): no interactive -------------------------\n 'memory.limit()' is Windows-specific\n Backtrace:\n 1. antaresRead::readAntares(links = \"all\", timeStep = \"daily\", showProgress = FALSE) test-exchangesStack.R:5:2\n 3. utils::memory.limit()\n \n == Failed tests ================================================================\n -- Error (test-prodStack.R:309:3): prodStack must work with refStudy, if interactive is set to TRUE and if x and refStudy are antaresData, --\n Error: $ operator is invalid for atomic vectors\n Backtrace:\n x\n 1. \\-antaresViz:::.get_data_from_htmlwidget(PS3) test-prodStack.R:309:2\n -- Error (test-prodStack.R:338:3): prodStack must work with refStudy, if interactive is set to TRUE and if x a list of antaresData and refStudy an antaresData, --\n Error: $ operator is invalid for atomic vectors\n Backtrace:\n x\n 1. \\-antaresViz:::.get_data_from_htmlwidget(PS3, widgetsNumber = 2) test-prodStack.R:338:2\n -- Error (test-prodStack.R:388:3): prodStack must work with refStudy, if interactive is set to TRUE and if x is an antaresDataList and refStudy an antaresDataList, --\n Error: $ operator is invalid for atomic vectors\n Backtrace:\n x\n 1. \\-antaresViz:::.get_data_from_htmlwidget(PS3, widgetsNumber = 1) test-prodStack.R:388:2\n -- Error (test-prodStack.R:442:3): prodStack must work with refStudy, if interactive is set to TRUE and if x is a list of antaresDataList and refStudy an antaresDataList , --\n Error: $ operator is invalid for atomic vectors\n Backtrace:\n x\n 1. \\-antaresViz:::.get_data_from_htmlwidget(PS3, widgetsNumber = 3) test-prodStack.R:442:2\n \n [ FAIL 4 | WARN 1 | SKIP 14 | PASS 287 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-devel-linux-x86_64-debian-clang"
]
},
{
"version": "0.15.3",
"output": " Running ‘testthat.R’ [165s/200s]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(antaresViz)\n Loading required package: antaresRead\n Loading required package: antaresProcessing\n \n Attaching package: 'antaresProcessing'\n \n The following object is masked from 'package:testthat':\n \n compare\n \n Loading required package: spMaps\n Loading required package: sp\n Loading required package: raster\n \n Attaching package: 'raster'\n \n The following object is masked from 'package:antaresProcessing':\n \n getValues\n \n Loading required package: rgeos\n rgeos version: 0.5-5, (SVN revision 640)\n GEOS runtime version: 3.9.0-CAPI-1.16.2 \n Linking to sp version: 1.4-5 \n Polygon checking: TRUE \n \n > \n > test_check(\"antaresViz\")\n ══ Skipped tests ═══════════════════════════════════════════════════════════════\n ● .runExchangesStackTest is not TRUE (8)\n ● .runPlotMapTest is not TRUE (1)\n ● .runProdStackTest is not TRUE (4)\n ● .runTsPlotTest is not TRUE (1)\n \n ══ Warnings ════════════════════════════════════════════════════════════════════\n ── Warning (test-exchangesStack.R:5:3): no interactive ─────────────────────────\n 'memory.limit()' is Windows-specific\n Backtrace:\n 1. antaresRead::readAntares(links = \"all\", timeStep = \"daily\", showProgress = FALSE) test-exchangesStack.R:5:2\n 3. utils::memory.limit()\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n Computation failed in `stat_binhex()`:\n Package `hexbin` required for `stat_binhex`.\n Please install and try again.\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::ggplotly_build(p)\n 6. plotly:::by_layer(function(l, d) l$compute_statistic(d, layout))\n 7. plotly:::f(l = layers[[i]], d = data[[i]])\n 8. l$compute_statistic(d, layout)\n 9. ggplot2:::f(..., self = self)\n 10. self$stat$compute_layer(data, params, layout)\n 11. ggplot2:::f(..., self = self)\n 12. ggplot2:::dapply(...)\n 13. ggplot2:::apply_fun(df)\n 14. ggplot2:::fun(x, ...)\n 15. base::tryCatch(...)\n 16. base:::tryCatchList(expr, classes, parentenv, handlers)\n 17. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])\n 18. value[[3L]](cond)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"L",
"check": "tests",
"flavors": [
"r-devel-linux-x86_64-debian-gcc"
]
},
{
"version": "0.15.3",
"output": " Running ‘testthat.R’ [115s/213s]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(antaresViz)\n Loading required package: antaresRead\n Loading required package: antaresProcessing\n \n Attaching package: 'antaresProcessing'\n \n The following object is masked from 'package:testthat':\n \n compare\n \n Loading required package: spMaps\n Loading required package: sp\n Loading required package: raster\n \n Attaching package: 'raster'\n \n The following object is masked from 'package:antaresProcessing':\n \n getValues\n \n Loading required package: rgeos\n rgeos version: 0.5-5, (SVN revision 640)\n GEOS runtime version: 3.8.1-CAPI-1.13.3 \n Linking to sp version: 1.4-4 \n Polygon checking: TRUE \n \n > \n > test_check(\"antaresViz\")\n ══ Skipped tests ═══════════════════════════════════════════════════════════════\n ● .runExchangesStackTest is not TRUE (8)\n ● .runPlotMapTest is not TRUE (1)\n ● .runProdStackTest is not TRUE (4)\n ● .runTsPlotTest is not TRUE (1)\n \n ══ Warnings ════════════════════════════════════════════════════════════════════\n ── Warning (test-exchangesStack.R:5:3): no interactive ─────────────────────────\n 'memory.limit()' is Windows-specific\n Backtrace:\n 1. antaresRead::readAntares(links = \"all\", timeStep = \"daily\", showProgress = FALSE) test-exchangesStack.R:5:2\n 3. utils::memory.limit()\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n Computation failed in `stat_binhex()`:\n Package `hexbin` required for `stat_binhex`.\n Please install and try again.\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::ggplotly_build(p)\n 6. plotly:::by_layer(function(l, d) l$compute_statistic(d, layout))\n 7. plotly:::f(l = layers[[i]], d = data[[i]])\n 8. l$compute_statistic(d, layout)\n 9. ggplot2:::f(..., self = self)\n 10. self$stat$compute_layer(data, params, layout)\n 11. ggplot2:::f(..., self = self)\n 12. ggplot2:::dapply(...)\n 13. ggplot2:::apply_fun(df)\n 14. ggplot2:::fun(x, ...)\n 15. base::tryCatch(...)\n 16. base:::tryCatchList(expr, classes, parentenv, handlers)\n 17. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])\n 18. value[[3L]](cond)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"L",
"check": "tests",
"flavors": [
"r-devel-linux-x86_64-fedora-clang"
]
},
{
"version": "0.15.3",
"output": " Running ‘testthat.R’ [123s/159s]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(antaresViz)\n Loading required package: antaresRead\n Loading required package: antaresProcessing\n \n Attaching package: 'antaresProcessing'\n \n The following object is masked from 'package:testthat':\n \n compare\n \n Loading required package: spMaps\n Loading required package: sp\n Loading required package: raster\n \n Attaching package: 'raster'\n \n The following object is masked from 'package:antaresProcessing':\n \n getValues\n \n Loading required package: rgeos\n rgeos version: 0.5-5, (SVN revision 640)\n GEOS runtime version: 3.6.4-CAPI-1.10.4 \n Linking to sp version: 1.4-4 \n Polygon checking: TRUE \n \n > \n > test_check(\"antaresViz\")\n ══ Skipped tests ═══════════════════════════════════════════════════════════════\n ● .runExchangesStackTest is not TRUE (8)\n ● .runPlotMapTest is not TRUE (1)\n ● .runProdStackTest is not TRUE (4)\n ● .runTsPlotTest is not TRUE (1)\n \n ══ Warnings ════════════════════════════════════════════════════════════════════\n ── Warning (test-exchangesStack.R:5:3): no interactive ─────────────────────────\n 'memory.limit()' is Windows-specific\n Backtrace:\n 1. antaresRead::readAntares(links = \"all\", timeStep = \"daily\", showProgress = FALSE) test-exchangesStack.R:5:2\n 3. utils::memory.limit()\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n Computation failed in `stat_binhex()`:\n Package `hexbin` required for `stat_binhex`.\n Please install and try again.\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::ggplotly_build(p)\n 6. plotly:::by_layer(function(l, d) l$compute_statistic(d, layout))\n 7. plotly:::f(l = layers[[i]], d = data[[i]])\n 8. l$compute_statistic(d, layout)\n 9. ggplot2:::f(..., self = self)\n 10. self$stat$compute_layer(data, params, layout)\n 11. ggplot2:::f(..., self = self)\n 12. ggplot2:::dapply(...)\n 13. ggplot2:::apply_fun(df)\n 14. ggplot2:::fun(x, ...)\n 15. base::tryCatch(...)\n 16. base:::tryCatchList(expr, classes, parentenv, handlers)\n 17. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])\n 18. value[[3L]](cond)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"L",
"check": "tests",
"flavors": [
"r-patched-solaris-x86"
]
},
{
"version": "0.15.3",
"output": " Running ‘testthat.R’ [129s/135s]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(antaresViz)\n Loading required package: antaresRead\n Loading required package: antaresProcessing\n \n Attaching package: 'antaresProcessing'\n \n The following object is masked from 'package:testthat':\n \n compare\n \n Loading required package: spMaps\n Loading required package: sp\n Loading required package: raster\n \n Attaching package: 'raster'\n \n The following object is masked from 'package:antaresProcessing':\n \n getValues\n \n Loading required package: rgeos\n rgeos version: 0.5-5, (SVN revision 640)\n GEOS runtime version: 3.9.0-CAPI-1.16.2 \n Linking to sp version: 1.4-5 \n Polygon checking: TRUE \n \n > \n > test_check(\"antaresViz\")\n ══ Skipped tests ═══════════════════════════════════════════════════════════════\n ● .runExchangesStackTest is not TRUE (8)\n ● .runPlotMapTest is not TRUE (1)\n ● .runProdStackTest is not TRUE (4)\n ● .runTsPlotTest is not TRUE (1)\n \n ══ Warnings ════════════════════════════════════════════════════════════════════\n ── Warning (test-exchangesStack.R:5:3): no interactive ─────────────────────────\n 'memory.limit()' is Windows-specific\n Backtrace:\n 1. antaresRead::readAntares(links = \"all\", timeStep = \"daily\", showProgress = FALSE) test-exchangesStack.R:5:2\n 3. utils::memory.limit()\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n Computation failed in `stat_binhex()`:\n Package `hexbin` required for `stat_binhex`.\n Please install and try again.\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::ggplotly_build(p)\n 6. plotly:::by_layer(function(l, d) l$compute_statistic(d, layout))\n 7. plotly:::f(l = layers[[i]], d = data[[i]])\n 8. l$compute_statistic(d, layout)\n 9. ggplot2:::f(..., self = self)\n 10. self$stat$compute_layer(data, params, layout)\n 11. ggplot2:::f(..., self = self)\n 12. ggplot2:::dapply(...)\n 13. ggplot2:::apply_fun(df)\n 14. ggplot2:::fun(x, ...)\n 15. base::tryCatch(...)\n 16. base:::tryCatchList(expr, classes, parentenv, handlers)\n 17. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])\n 18. value[[3L]](cond)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n ── Warning (test-plotXY.R:6:5): prodStack, no interactive ──────────────────────\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"L",
"check": "tests",
"flavors": [
"r-release-linux-x86_64"
]
},
{
"version": "0.15.3",
"output": " Running 'testthat.R' [100s]\nRunning the tests in 'tests/testthat.R' failed.\nComplete output:\n > library(testthat)\n > library(antaresViz)\n Loading required package: antaresRead\n Loading required package: antaresProcessing\n \n Attaching package: 'antaresProcessing'\n \n The following object is masked from 'package:testthat':\n \n compare\n \n Loading required package: spMaps\n Loading required package: sp\n Loading required package: raster\n \n Attaching package: 'raster'\n \n The following object is masked from 'package:antaresProcessing':\n \n getValues\n \n Loading required package: rgeos\n rgeos version: 0.5-5, (SVN revision 640)\n GEOS runtime version: 3.8.0-CAPI-1.13.1 \n Linking to sp version: 1.4-5 \n Polygon checking: TRUE \n \n > \n > test_check(\"antaresViz\")\n == Skipped tests ===============================================================\n * .runExchangesStackTest is not TRUE (8)\n * .runPlotMapTest is not TRUE (1)\n * .runProdStackTest is not TRUE (4)\n * .runTsPlotTest is not TRUE (1)\n \n == Warnings ====================================================================\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n Computation failed in `stat_binhex()`:\n Package `hexbin` required for `stat_binhex`.\n Please install and try again.\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::ggplotly_build(p)\n 6. plotly:::by_layer(function(l, d) l$compute_statistic(d, layout))\n 7. plotly:::f(l = layers[[i]], d = data[[i]])\n 8. l$compute_statistic(d, layout)\n 9. ggplot2:::f(..., self = self)\n 10. self$stat$compute_layer(data, params, layout)\n 11. ggplot2:::f(..., self = self)\n 12. ggplot2:::dapply(...)\n 13. ggplot2:::apply_fun(df)\n 14. ggplot2:::fun(x, ...)\n 15. base::tryCatch(...)\n 16. base:::tryCatchList(expr, classes, parentenv, handlers)\n 17. base:::tryCatchOne(expr, names, parentenv, handlers[[1L]])\n 18. value[[3L]](cond)\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"x\"]], FALSE)\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n no non-missing arguments to max; returning -Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n 10. base::range(x, na.rm = TRUE)\n -- Warning (test-plotXY.R:6:5): prodStack, no interactive ----------------------\n no non-missing arguments to min; returning Inf\n Backtrace:\n 1. antaresViz::plotXY(dta, \"NODU\", \"LOAD\", precision = 50, sizeOnCount = FALSE) test-plotXY.R:6:4\n 3. plotly:::ggplotly.ggplot(p)\n 4. plotly::gg2list(...)\n 5. plotly:::layers2traces(data, prestats_data, layout, plot)\n 7. plotly:::to_basic.GeomHex(...)\n 8. ggplot2::resolution(data[[\"y\"]], FALSE)\n \n == Faile",
"check": "tests",
"flavors": [
"r-release-windows-ix86+x86_64"
]
}
],
"additional_issues": null
}
}
]
}
cchecks::cch_pkgs_search(q = "memory", one_each = TRUE, limit = 2)
$error
NULL
$count
[1] 57
$returned
[1] 2
$data
[90m# A tibble: 2 x 5[39m
package date_updated summary$any $ok $note $warn $error $fail checks
[3m[90m<chr>[39m[23m [3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<list>[39m[23m
[90m1[39m allan 2020-12-19T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m2[39m antare… 2021-01-12T… TRUE 6 0 0 6 0 [90m<df[,[0m…
[90m# … with 2 more variables: check_details$details [3m[90m<list>[90m[23m,[39m
[90m# $additional_issues [3m[90m<lgl>[90m[23m[39m
curl https://cranchecks.info/search?q=memory&one_each=true&fields=package | jq .
HTTP/2 200
access-control-allow-methods: HEAD, GET
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 1200
date: Mon, 18 Jan 2021 13:35:33 GMT
{
"error": null,
"count": 57,
"returned": 10,
"data": [
{
"package": "allan",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "antaresViz",
"date_updated": "2021-01-12T15:03:51.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "aws",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "batchtools",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "blockmodeling",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "bssm",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "clusternor",
"date_updated": "2020-12-23T15:03:51.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "compboost",
"date_updated": "2020-12-19T15:03:46.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "cooccurNet",
"date_updated": "2020-12-19T15:03:45.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "ctsemOMX",
"date_updated": "2020-12-23T15:03:51.000Z",
"summary": null,
"checks": null,
"check_details": null
}
]
}
cchecks::cch_pkgs_search(q = "memory", one_each = TRUE, fields = "package")
$error
NULL
$count
[1] 57
$returned
[1] 30
$data
[90m# A tibble: 30 x 5[39m
package date_updated summary checks check_details
[3m[90m<chr>[39m[23m [3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<lgl>[39m[23m
[90m 1[39m allan 2020-12-19T15:03:46.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 2[39m antaresViz 2021-01-12T15:03:51.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 3[39m aws 2020-12-19T15:03:46.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 4[39m batchtools 2020-12-19T15:03:46.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 5[39m blockmodeling 2020-12-19T15:03:46.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 6[39m bssm 2020-12-19T15:03:46.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 7[39m clusternor 2020-12-23T15:03:51.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 8[39m compboost 2020-12-19T15:03:46.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 9[39m cooccurNet 2020-12-19T15:03:45.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m10[39m ctsemOMX 2020-12-23T15:03:51.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m# … with 20 more rows[39m
Notifications
The Notifications endpoint allow you to manage notifications sent to your email address, so you might get aware of failing CRAN checks before CRAN emails you! 💃 🔥
Notifications token
Get a token for CRAN checks notifications.
Function of the cchecks R package: cchn_register().
GET [/notifications/token]
Parameter:
- email address
The token is sent by email, not returned via the response body or headers!
curl https://cranchecks.info/notifications/token?email=msmaellesalmon@gmail.com | jq .
HTTP/2 200
content-type: application/json
server: Caddy
x-content-type-options: nosniff
content-length: 43
date: Sat, 16 May 2020 14:12:34 GMT
{
"error": null,
"data": "success, email sent"
}
# Interactively
cchecks::cchn_register(email = "jane.doe@cranchecksapidocs.com")
Notifications rules
This section is not about an endpoint, it is information useful for all notifications endpoint. 🤓
⚠️ All components of a rule (e.g., status or time) are combined with ‘AND’. That is,
if status="warn" and time=3, the rule is “triggered” only if both
of status="warn" and time=3 components match the cran checks data.
💡 If you want achieve ‘OR’ behavior make multiple rules.
Each rule can have 1 to 4 parameters:
- status (str)
- match against check status. one of: ok, note, warn, error, fail
- time (int)
- days in a row the match occurs. an integer. can only go 30 days back (history cleaned up after 30 days)
- platforms (str/int)
- platform the status occurs on, including negation (e.g., “-solaris”). options: solaris, osx, linux, windows, devel, release, patched, oldrel
- regex (str)
- a regex to match against the text of an error in check_details.output
Examples in words, and their equivalents as a Ruby hash
- ERROR for 3 days in a row across 2 or more platforms
{'status' => 'error', 'time' => 3, 'platforms' => 2, 'regex' => nil}- ERROR for 2 days in a row on all osx platforms
{'status' => 'error', 'time' => 2, 'platforms' => "osx", 'regex' => nil}- ERROR for 2 days in a row on all release R versions
{'status' => 'error', 'time' => 2, 'platforms' => "release", 'regex' => nil}- WARN for 4 days in a row on any platform except Solaris
{'status' => 'warn', 'time' => 4, 'platforms' => "-solaris", 'regex' => nil}- WARN for 2 days in a row across 9 or more platforms
{'status' => 'warn', 'time' => 2, 'platforms' => 10, 'regex' => nil}- NOTE across all osx platforms
{'status' => 'note', 'time' => nil, 'platforms' => "osx", 'regex' => nil}- NOTE
{'status' => 'note', 'time' => nil, 'platforms' => nil, 'regex' => nil}- error details contain regex ‘install’
{'status' => nil, 'time' => nil, 'platforms' => nil, 'regex' => "install"}
Notifications create
Add new notification rules.
Functions of the cchecks R package: cchn_rule_add() and cchn_pkg_rule_add().
curl -XPOST -H "Authorization: Bearer ***" \
--data '[{"package": "ropenaq", "regex": "install failure"}]' \
https://cranchecks.info/notifications/rules | jq .
HTTP/2 200
access-control-allow-methods: POST
access-control-allow-origin: *
cache-control: public, must-revalidate, max-age=60
content-type: application/json; charset=utf8
server: Caddy
x-content-type-options: nosniff
content-length: 131
date: Mon, 18 J