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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 256
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:11 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/445
HTTP/1.1 204 No Content
Access-Control-Allow-Methods: DELETE
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:11 GMT
302 (Found)
The root /, redirects to /heartbeat, and /docs redirects to what you’re reading right now.
curl https://cranchecks.info/ | jq .
HTTP/1.1 302 Found
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 0
Content-Type: application/json; charset=utf8
Location: https://cranchecks.info/heartbeat
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:12 GMT
400 (Bad request)
When you have a malformed request, fix it and try again
curl https://cranchecks.info/maintainers/blablabla | jq .
HTTP/1.1 400 Bad Request
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 52
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:12 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/1.1 404 Not Found
Content-Length: 27
Content-Type: application/json
Server: Caddy
X-Cascade: pass
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:12 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/1.1 405 Method Not Allowed
Content-Length: 30
Content-Type: application/json
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:13 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/1.1 302 Found
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 0
Content-Type: application/json; charset=utf8
Location: https://cranchecks.info/heartbeat
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:13 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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 256
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:48:59 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/1.1 301 Moved Permanently
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 0
Content-Type: application/json; charset=utf8
Location: https://docs.cranchecks.info/
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:48:59 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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 1065
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:02 GMT
{
"found": 10271,
"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": "2020-11-30T12:02:34.532Z",
"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": "clement.benard_at_safrangroup.com",
"name": "Clement Benard",
"url": "https://cloud.r-project.org/web/checks/check_results_clement.benard_at_safrangroup.com.html",
"date_updated": "2020-11-30T12:02:34.532Z",
"table": [
{
"package": "sirus",
"any": true,
"ok": 9,
"note": 3,
"warn": 0,
"error": 0
}
],
"packages": [
{
"package": "sirus",
"url": "https://cloud.r-project.org/web/checks/check_results_sirus.html",
"check_result": [
{
"category": "NOTE",
"number_checks": 3
},
{
"category": "OK",
"number_checks": 9
}
],
"version": null
}
]
}
]
}
cchecks::cch_maintainers(limit = 2, offset = 5)
$found
[1] 10271
$count
[1] 2
$offset
[1] 5
$error
NULL
$data
email name
1 markus.boenn.sf_at_googlemail.com Markus Boenn
2 clement.benard_at_safrangroup.com Clement Benard
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_clement.benard_at_safrangroup.com.html
date_updated table
1 2020-11-30T12:02:34.532Z hypergea, TRUE, 6, 6, 0, 0
2 2020-11-30T12:02:34.532Z sirus, TRUE, 9, 3, 0, 0
packages
1 hypergea, https://cloud.r-project.org/web/checks/check_results_hypergea.html, NOTE, OK, 6, 6, NA
2 sirus, https://cloud.r-project.org/web/checks/check_results_sirus.html, NOTE, OK, 3, 9, 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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 13085
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:03 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": "2020-11-30T12:02:35.100Z",
"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": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
},
{
"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": "franc",
"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": 6,
"warn": 0,
"error": 1
},
{
"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": true,
"ok": 11,
"note": 0,
"warn": 0,
"error": 1
},
{
"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": "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": false,
"ok": 12,
"note": 0,
"warn": 0,
"error": 0
}
],
"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": "OK",
"number_checks": 12
}
],
"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": "franc",
"url": "https://cloud.r-project.org/web/checks/check_results_franc.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": "ERROR",
"number_checks": 1
},
{
"category": "NOTE",
"number_checks": 6
},
{
"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": "ERROR",
"number_checks": 1
},
{
"category": "OK",
"number_checks": 11
}
],
"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": "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": "OK",
"number_checks": 12
}
],
"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] "2020-11-30T12:02:35.100Z"
$data$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 FALSE 12 0 0 0
12 disposables FALSE 12 0 0 0
13 dotenv FALSE 12 0 0 0
14 filelock FALSE 12 0 0 0
15 franc FALSE 12 0 0 0
16 gh FALSE 12 0 0 0
17 gitcreds FALSE 12 0 0 0
18 igraph TRUE 5 6 0 1
19 igraphdata FALSE 12 0 0 0
20 isa2 FALSE 12 0 0 0
21 keypress FALSE 12 0 0 0
22 keyring TRUE 10 2 0 0
23 liteq FALSE 12 0 0 0
24 lpSolve FALSE 12 0 0 0
25 oskeyring FALSE 12 0 0 0
26 pak TRUE 11 1 0 0
27 parsedate FALSE 12 0 0 0
28 pingr FALSE 12 0 0 0
29 pkgcache TRUE 11 0 0 1
30 pkgconfig FALSE 12 0 0 0
31 pkgsearch FALSE 12 0 0 0
32 praise FALSE 12 0 0 0
33 presser TRUE 11 0 0 1
34 prettycode FALSE 12 0 0 0
35 prettyunits FALSE 12 0 0 0
36 processx TRUE 11 0 0 1
37 progress FALSE 12 0 0 0
38 ps FALSE 12 0 0 0
39 rcmdcheck TRUE 11 1 0 0
40 rcorpora TRUE 5 7 0 0
41 rematch2 TRUE 11 1 0 0
42 rhub FALSE 12 0 0 0
43 rversions FALSE 12 0 0 0
44 sankey FALSE 12 0 0 0
45 secret FALSE 12 0 0 0
46 sessioninfo FALSE 12 0 0 0
47 showimage FALSE 12 0 0 0
48 tracer FALSE 12 0 0 0
49 webdriver FALSE 12 0 0 0
50 whoami FALSE 12 0 0 0
51 xmlparsedata FALSE 12 0 0 0
52 xopen FALSE 12 0 0 0
53 zip FALSE 12 0 0 0
$data$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 franc
16 gh
17 gitcreds
18 igraph
19 igraphdata
20 isa2
21 keypress
22 keyring
23 liteq
24 lpSolve
25 oskeyring
26 pak
27 parsedate
28 pingr
29 pkgcache
30 pkgconfig
31 pkgsearch
32 praise
33 presser
34 prettycode
35 prettyunits
36 processx
37 progress
38 ps
39 rcmdcheck
40 rcorpora
41 rematch2
42 rhub
43 rversions
44 sankey
45 secret
46 sessioninfo
47 showimage
48 tracer
49 webdriver
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_franc.html
16 https://cloud.r-project.org/web/checks/check_results_gh.html
17 https://cloud.r-project.org/web/checks/check_results_gitcreds.html
18 https://cloud.r-project.org/web/checks/check_results_igraph.html
19 https://cloud.r-project.org/web/checks/check_results_igraphdata.html
20 https://cloud.r-project.org/web/checks/check_results_isa2.html
21 https://cloud.r-project.org/web/checks/check_results_keypress.html
22 https://cloud.r-project.org/web/checks/check_results_keyring.html
23 https://cloud.r-project.org/web/checks/check_results_liteq.html
24 https://cloud.r-project.org/web/checks/check_results_lpSolve.html
25 https://cloud.r-project.org/web/checks/check_results_oskeyring.html
26 https://cloud.r-project.org/web/checks/check_results_pak.html
27 https://cloud.r-project.org/web/checks/check_results_parsedate.html
28 https://cloud.r-project.org/web/checks/check_results_pingr.html
29 https://cloud.r-project.org/web/checks/check_results_pkgcache.html
30 https://cloud.r-project.org/web/checks/check_results_pkgconfig.html
31 https://cloud.r-project.org/web/checks/check_results_pkgsearch.html
32 https://cloud.r-project.org/web/checks/check_results_praise.html
33 https://cloud.r-project.org/web/checks/check_results_presser.html
34 https://cloud.r-project.org/web/checks/check_results_prettycode.html
35 https://cloud.r-project.org/web/checks/check_results_prettyunits.html
36 https://cloud.r-project.org/web/checks/check_results_processx.html
37 https://cloud.r-project.org/web/checks/check_results_progress.html
38 https://cloud.r-project.org/web/checks/check_results_ps.html
39 https://cloud.r-project.org/web/checks/check_results_rcmdcheck.html
40 https://cloud.r-project.org/web/checks/check_results_rcorpora.html
41 https://cloud.r-project.org/web/checks/check_results_rematch2.html
42 https://cloud.r-project.org/web/checks/check_results_rhub.html
43 https://cloud.r-project.org/web/checks/check_results_rversions.html
44 https://cloud.r-project.org/web/checks/check_results_sankey.html
45 https://cloud.r-project.org/web/checks/check_results_secret.html
46 https://cloud.r-project.org/web/checks/check_results_sessioninfo.html
47 https://cloud.r-project.org/web/checks/check_results_showimage.html
48 https://cloud.r-project.org/web/checks/check_results_tracer.html
49 https://cloud.r-project.org/web/checks/check_results_webdriver.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 OK, 12 NA
12 OK, 12 NA
13 OK, 12 NA
14 OK, 12 NA
15 OK, 12 NA
16 OK, 12 NA
17 OK, 12 NA
18 ERROR, NOTE, OK, 1, 6, 5 NA
19 OK, 12 NA
20 OK, 12 NA
21 OK, 12 NA
22 NOTE, OK, 2, 10 NA
23 OK, 12 NA
24 OK, 12 NA
25 OK, 12 NA
26 NOTE, OK, 1, 11 NA
27 OK, 12 NA
28 OK, 12 NA
29 ERROR, OK, 1, 11 NA
30 OK, 12 NA
31 OK, 12 NA
32 OK, 12 NA
33 ERROR, OK, 1, 11 NA
34 OK, 12 NA
35 OK, 12 NA
36 ERROR, OK, 1, 11 NA
37 OK, 12 NA
38 OK, 12 NA
39 NOTE, OK, 1, 11 NA
40 NOTE, OK, 7, 5 NA
41 NOTE, OK, 1, 11 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 OK, 12 NA
50 OK, 12 NA
51 OK, 12 NA
52 OK, 12 NA
53 OK, 12 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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 6791
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:08 GMT
{
"found": 17966,
"count": 2,
"offset": 5,
"error": null,
"data": [
{
"package": "ibb",
"url": "https://cloud.r-project.org/web/checks/check_results_ibb.html",
"date_updated": "2020-11-30T12:04:24.464Z",
"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": 5.23,
"tcheck": 34.74,
"ttotal": 39.97,
"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": 3.69,
"tcheck": 29.85,
"ttotal": 33.54,
"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": 53.92,
"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": 43.46,
"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": 9,
"tcheck": 46,
"ttotal": 55,
"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": 4.53,
"tcheck": 38.61,
"ttotal": 43.14,
"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": 64.3,
"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": 4.68,
"tcheck": 36.53,
"ttotal": 41.21,
"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": 42,
"ttotal": 50,
"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": 53,
"ttotal": 60,
"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": [
]
}
},
{
"package": "ChIPtest",
"url": "https://cloud.r-project.org/web/checks/check_results_ChIPtest.html",
"date_updated": "2020-11-30T12:04:24.464Z",
"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": 3.81,
"tcheck": 25.42,
"ttotal": 29.23,
"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": 2.66,
"tcheck": 19.91,
"ttotal": 22.57,
"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": 42.15,
"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": 33.19,
"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": 9,
"tcheck": 50,
"ttotal": 59,
"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": 3.58,
"tcheck": 24.51,
"ttotal": 28.09,
"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": 51.3,
"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": 3.68,
"tcheck": 24.78,
"ttotal": 28.46,
"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": [
]
}
}
]
}
cchecks::cch_pkgs(
limit = 2,
offset = 5
)
$found
[1] 17966
$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 2020-11-30T12:04:24.464Z TRUE 7 5 0
2 2020-11-30T12:04:24.464Z 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, 5.23, 3.69, 0, 0, 9, 4.53, 0, 4.68, 0, 8, 0, 7, 34.74, 29.85, 0, 0, 46, 38.61, 0, 36.53, 0, 42, 0, 53, 39.97, 33.54, 53.92, 43.46, 55, 43.14, 64.3, 41.21, 0, 50, 0, 60, 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, 3.81, 2.66, 0, 0, 9, 3.58, 0, 3.68, 0, 8, 0, 16, 25.42, 19.91, 0, 0, 50, 24.51, 0, 24.78, 0, 53, 0, 63, 29.23, 22.57, 42.15, 33.19, 59, 28.09, 51.3, 28.46, 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 NULL
2 NULL
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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 2847
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:08 GMT
{
"error": null,
"data": {
"package": "rhub",
"url": "https://cloud.r-project.org/web/checks/check_results_rhub.html",
"date_updated": "2020-11-30T12:04:24.723Z",
"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": 8.93,
"tcheck": 51.03,
"ttotal": 59.96,
"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": 6.86,
"tcheck": 43.25,
"ttotal": 50.11,
"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": 77.37,
"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": 17,
"tcheck": 54,
"ttotal": 71,
"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": 8.89,
"tcheck": 54.41,
"ttotal": 63.3,
"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": 94.4,
"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": 7.39,
"tcheck": 55.09,
"ttotal": 62.48,
"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": 57,
"ttotal": 68,
"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": 66,
"ttotal": 76,
"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] "2020-11-30T12:04:24.723Z"
$data$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 8.93 51.03 59.96 OK
2 r-devel-linux-x86_64-debian-gcc 1.1.1 6.86 43.25 50.11 OK
3 r-devel-linux-x86_64-fedora-clang 1.1.1 0.00 0.00 77.37 OK
4 r-devel-linux-x86_64-fedora-gcc 1.1.1 0.00 0.00 81.92 OK
5 r-devel-windows-ix86+x86_64 1.1.1 17.00 54.00 71.00 OK
6 r-patched-linux-x86_64 1.1.1 8.89 54.41 63.30 OK
7 r-patched-solaris-x86 1.1.1 0.00 0.00 94.40 OK
8 r-release-linux-x86_64 1.1.1 7.39 55.09 62.48 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 11.00 57.00 68.00 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 10.00 66.00 76.00 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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 28509
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:10 GMT
{
"error": null,
"data": {
"package": "rhub",
"history": [
{
"date_updated": "2020-11-29T15:03:31.000Z",
"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": 8.93,
"tcheck": 51.03,
"ttotal": 59.96,
"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": 5.65,
"tcheck": 41.84,
"ttotal": 47.49,
"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": 77.37,
"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": 81.51,
"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": 17,
"tcheck": 54,
"ttotal": 71,
"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": 8.89,
"tcheck": 54.41,
"ttotal": 63.3,
"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": 94.4,
"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": 7.39,
"tcheck": 55.09,
"ttotal": 62.48,
"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": 57,
"ttotal": 68,
"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": 66,
"ttotal": 76,
"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": "2020-11-28T15:03:27.000Z",
"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": 9.22,
"tcheck": 56.71,
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{
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"ttotal": 74,
"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",
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"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",
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"ttotal": 59,
"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": "2020-11-22T15:03:27.000Z",
"summary": {
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},
"checks": [
{
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"tcheck": 52.82,
"ttotal": 61.88,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
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"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",
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"ttotal": 76.95,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
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"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",
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"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/rhub-00check.html"
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{
"flavor": "r-release-windows-ix86+x86_64",
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"ttotal": 74,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
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{
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"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",
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"ttotal": 66,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/rhub-00check.html"
}
],
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},
{
"date_updated": "2020-11-21T15:03:28.000Z",
"summary": {
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},
"checks": [
{
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"ttotal": 64.16,
"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
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"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/rhub-00check.html"
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{
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},
{
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},
{
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"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",
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"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
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"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",
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"status": "OK",
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}
],
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},
{
"date_updated": "2020-11-20T15:03:32.000Z",
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},
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"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/rhub-00check.html"
},
{
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},
{
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"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/rhub-00check.html"
},
{
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},
{
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"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",
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"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/rhub-00check.html"
},
{
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"status": "WARN",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/rhub-00check.html"
},
{
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"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/rhub-00check.html"
},
{
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},
{
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"status": "OK",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/rhub-00check.html"
},
{
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},
{
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"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": "Error(s) in re-building vignettes:\n ...\n--- re-building ‘local-debugging.Rmd’ using rmarkdown\nWarning in engine$weave(file, quiet = quiet, encoding = enc) :\n Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.\nQuitting from lines 71-74 (local-debugging.Rmd) \nError: processing vignette 'local-debugging.Rmd' failed with diagnostics:\nTimeout was reached: [builder.r-hub.io] Operation timed out after 10000 milliseconds with 0 out of 0 bytes received\n--- failed re-building ‘local-debugging.Rmd’\n\n--- re-building ‘rhub.Rmd’ using rmarkdown\nWarning in engine$weave(file, quiet = quiet, encoding = enc) :\n Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.\n--- finished re-building ‘rhub.Rmd’\n\nSUMMARY: processing the following file failed:\n ‘local-debugging.Rmd’\n\nError: Vignette re-building failed.\nExecution halted",
"check": "re-building of vignette outputs",
"flavors": [
"r-patched-solaris-x86"
]
}
],
"additional_issues": [
]
}
}
]
}
}
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 $fail checks
[3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<list>[39m[23m
[90m 1[39m 2020-11-29T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 2[39m 2020-11-28T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 3[39m 2020-11-27T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 4[39m 2020-11-26T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 5[39m 2020-11-25T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 6[39m 2020-11-24T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 7[39m 2020-11-23T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 8[39m 2020-11-22T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m 9[39m 2020-11-21T… FALSE 12 0 0 0 0 [90m<df[,[0m…
[90m10[39m 2020-11-20T… TRUE 11 0 1 0 0 [90m<df[,[0m…
[90m# … with 20 more rows, and 2 more variables: check_details$details [3m[90m<list>[90m[23m,[39m
[90m# $additional_issues [3m[90m<list>[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/1.1 200 OK
Cache-Control: max-age=300, public
Content-Length: 855
Content-Type: image/svg+xml; charset=utf-8
Expires: Mon, 30 Nov 2020 12:53:57 GMT
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:48:57 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/1.1 200 OK
Cache-Control: max-age=300, public
Content-Length: 855
Content-Type: image/svg+xml; charset=utf-8
Expires: Mon, 30 Nov 2020 12:53:58 GMT
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:48:58 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/1.1 200 OK
Cache-Control: max-age=300, public
Content-Length: 855
Content-Type: image/svg+xml; charset=utf-8
Expires: Mon, 30 Nov 2020 12:53:58 GMT
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:48:58 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
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<text x="55.5" y="15" fill="#010101" fill-opacity=".3">
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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 http/1.1
* TLS 1.2 connection using TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384
* Server certificate: cranchecks.info
* Server certificate: Let's Encrypt Authority X3
* Server certificate: DST Root CA X3
> GET /history/2020-04-01 HTTP/1.1
> Host: cranchecks.info
> User-Agent: curl/7.73.0
> Accept: */*
>
* Mark bundle as not supporting multiuse
< HTTP/1.1 302 Found
< Access-Control-Allow-Methods: HEAD, GET
< Access-Control-Allow-Origin: *
< Cache-Control: public, must-revalidate, max-age=60
< Content-Length: 101
< 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%2F20201130%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20201130T124901Z&X-Amz-Expires=900&X-Amz-SignedHeaders=host&X-Amz-Signature=8a0923ebf007367ecead901cba37f63502975f9be9b1c156afccf80f48818b48
< Server: Caddy
< X-Content-Type-Options: nosniff
< Date: Mon, 30 Nov 2020 12:49:01 GMT
<
* Ignoring the response-body
{ [101 bytes data]
100 101 100 101 0 0 319 0 --:--:-- --:--:-- --:--:-- 319
* 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%2F20201130%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20201130T124901Z&X-Amz-Expires=900&X-Amz-SignedHeaders=host&X-Amz-Signature=8a0923ebf007367ecead901cba37f63502975f9be9b1c156afccf80f48818b48'
* Trying 52.218.217.81:443...
* Connected to cchecks-history.s3.us-west-2.amazonaws.com (52.218.217.81) port 443 (#1)
* ALPN, offering http/1.1
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0* TLS 1.2 connection using TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256
* ALPN, server did not agree to a protocol
* Server certificate: *.s3-us-west-2.amazonaws.com
* Server certificate: DigiCert Baltimore CA-2 G2
* Server certificate: Baltimore CyberTrust Root
> GET /2020-04-01.json.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIE65F6ZPF3JF7JTA%2F20201130%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20201130T124901Z&X-Amz-Expires=900&X-Amz-SignedHeaders=host&X-Amz-Signature=8a0923ebf007367ecead901cba37f63502975f9be9b1c156afccf80f48818b48 HTTP/1.1
> Host: cchecks-history.s3.us-west-2.amazonaws.com
> User-Agent: curl/7.73.0
> Accept: */*
>
* Mark bundle as not supporting multiuse
< HTTP/1.1 200 OK
< x-amz-id-2: RUroDqlpg/IW+6fZQzHeXt9xaOc+KeGzkyCqanuZimtt0qPT/5GRK5LCjW/qY8ORHwj1siTxHgY=
< x-amz-request-id: 9E8199AF77B0D6FF
< Date: Mon, 30 Nov 2020 12:49:02 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
<
{ [633 bytes data]
100 5059k 100 5059k 0 0 3644k 0 0:00:01 0:00:01 --:--:-- 6015k
* 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/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 177465
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:31 GMT
{
"error": null,
"count": 1389,
"returned": 10,
"data": [
{
"package": "clusternor",
"date_updated": "2020-11-21T15:03:28.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 10,
"warn": 0,
"error": 2,
"fail": 0
},
"checks": [
{
"flavor": "r-devel-linux-x86_64-debian-clang",
"version": "0.0-4",
"tinstall": 115.41,
"tcheck": 34.85,
"ttotal": 150.26,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/clusternor-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
"version": "0.0-4",
"tinstall": 124.01,
"tcheck": 26.07,
"ttotal": 150.08,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/clusternor-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-clang",
"version": "0.0-4",
"tinstall": 0,
"tcheck": 0,
"ttotal": 205.19,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-clang/clusternor-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-fedora-gcc",
"version": "0.0-4",
"tinstall": 0,
"tcheck": 0,
"ttotal": 152.6,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-fedora-gcc/clusternor-00check.html"
},
{
"flavor": "r-devel-windows-ix86+x86_64",
"version": "0.0-4",
"tinstall": 190,
"tcheck": 55,
"ttotal": 245,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-windows-ix86+x86_64/clusternor-00check.html"
},
{
"flavor": "r-patched-linux-x86_64",
"version": "0.0-4",
"tinstall": 189.77,
"tcheck": 33.39,
"ttotal": 223.16,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-linux-x86_64/clusternor-00check.html"
},
{
"flavor": "r-patched-solaris-x86",
"version": "0.0-4",
"tinstall": 0,
"tcheck": 0,
"ttotal": 132.9,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/clusternor-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
"version": "0.0-4",
"tinstall": 189.14,
"tcheck": 34,
"ttotal": 223.14,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-linux-x86_64/clusternor-00check.html"
},
{
"flavor": "r-release-macos-x86_64",
"version": "0.0-4",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-macos-x86_64/clusternor-00check.html"
},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "0.0-4",
"tinstall": 157,
"tcheck": 59,
"ttotal": 216,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/clusternor-00check.html"
},
{
"flavor": "r-oldrel-macos-x86_64",
"version": "0.0-4",
"tinstall": 0,
"tcheck": 0,
"ttotal": 0,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-macos-x86_64/clusternor-00check.html"
},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
"version": "0.0-4",
"tinstall": 150,
"tcheck": 52,
"ttotal": 202,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-oldrel-windows-ix86+x86_64/clusternor-00check.html"
}
],
"check_details": {
"details": [
{
"version": "0.0-4",
"output": "GNU make is a SystemRequirements.",
"check": "for GNU extensions in Makefiles",
"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": "0.0-4",
"output": " installed size is 7.3Mb\n sub-directories of 1Mb or more:\n libs 7.2Mb",
"check": "installed package size",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-release-macos-x86_64",
"r-oldrel-macos-x86_64"
]
},
{
"version": "0.0-4",
"output": " Running ‘testthat.R’ [0m/180m]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> memory\n \n ── FAILURE (test-fuzzy-cmeans.R:65:15): Data in-mem compared to same ───────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.4412906\n Component \"cluster\": Mean relative difference: 1\n Component \"size\": Mean relative difference: 0.06451613\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944158 1.873928 1.811176 1.829112 1.705413\n [2,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [3,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [4,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [5,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [6,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [7,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [8,] 1.944158 1.873934 1.811168 1.829129 1.705400\n \n $cluster\n [1] 1 3 1 1 3 1 1 1 1 3 1 3 1 3 3 1 3 1 3 1 3 1 1 3 3 1 1 3 3 3 1 3 3 1 3 1 3 3\n [39] 1 3 3 3 3 3 1 3 3 3 3 3\n \n $size\n [1] 21 0 29 0 0 0 0 0\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [2,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [3,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [4,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [5,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [6,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [7,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [8,] 1.944146 1.873190 1.812506 1.827033 1.706816\n \n $cluster\n [1] 8 2 8 8 2 8 8 8 8 2 8 2 8 3 2 8 2 8 2 8 2 8 8 2 8 8 8 3 2 2 8 2 2 7 2 8 2 2\n [39] 8 2 2 2 2 2 8 2 8 2 2 8\n \n $size\n [1] 0 24 2 0 0 0 1 23\n \n ── FAILURE (test-fuzzy-cmeans.R:70:15): data IM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.0001503612\n Component \"cluster\": Mean relative difference: 1.813725\n Component \"size\": Mean relative difference: 1.92\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642514 1.558093 1.687896 1.796400 1.725578\n [2,] 1.642514 1.558094 1.687897 1.796398 1.725580\n [3,] 1.612397 1.567911 1.701209 1.712948 1.806670\n [4,] 1.640636 1.558215 1.691796 1.777121 1.745306\n [5,] 1.642521 1.558125 1.687746 1.796934 1.725020\n [6,] 1.642517 1.558104 1.687841 1.796596 1.725374\n [7,] 3.285028 3.116189 3.375782 3.592836 3.451118\n [8,] 1.642522 1.558140 1.687696 1.797113 1.724830\n \n $cluster\n [1] 4 3 3 3 8 8 3 3 8 3 4 8 8 4 4 8 1 3 8 4 8 8 2 3 3 8 2 3 8 3 3 3 3 8 8 1 3 3\n [39] 8 4 8 8 3 3 8 4 8 8 3 3\n \n $size\n [1] 2 2 20 7 0 0 0 19\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642494 1.558368 1.686505 1.797907 1.723900\n [2,] 1.642493 1.558366 1.686515 1.797869 1.723940\n [3,] 1.642493 1.558362 1.686536 1.797792 1.724021\n [4,] 1.606360 1.563749 1.711082 1.680072 1.834862\n [5,] 1.642499 1.558429 1.686218 1.798925 1.722834\n [6,] 1.642495 1.558377 1.686463 1.798055 1.723745\n [7,] 1.642494 1.558367 1.686510 1.797889 1.723919\n [8,] 1.642497 1.558409 1.686342 1.798490 1.723283\n \n $cluster\n [1] 3 4 4 4 5 5 4 4 5 4 4 5 5 4 3 5 3 4 5 3 5 5 3 4 4 5 3 4 5 4 4 4 4 5 5 3 4 4\n [39] 5 3 5 5 4 4 5 3 5 5 4 4\n \n $size\n [1] 0 0 9 22 19 0 0 0\n \n ── FAILURE (test-fuzzy-cmeans.R:76:15): data EM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.1176461\n Component \"cluster\": Mean relative difference: 0.3697479\n Component \"size\": Mean relative difference: 1.36\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 ",
"check": "tests",
"flavors": [
"r-patched-solaris-x86"
]
},
{
"version": "0.0-4",
"output": " Running 'testthat.R' [1s]\nRunning the tests in 'tests/testthat.R' failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Warning: stack imbalance in '{', 55 then 56\n Warning: stack imbalance in '<-', 50 then 51\n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 3.064769 2.934908 2.738242 3.298497 2.844551\n [2,] 3.015320 3.013633 2.770685 2.955266 3.051938\n [3,] 4.513284 3.880610 4.156640 4.325825 3.100727\n [4,] 2.849448 2.974869 2.946936 2.447302 3.327008\n [5,] 2.491785 2.790580 3.414452 1.913792 3.267746\n [6,] 3.096226 2.912256 2.765275 3.344278 2.809726\n [7,] 2.887287 3.006538 2.990962 2.472479 3.301115\n [8,] 3.248763 4.155510 1.973610 3.654074 2.660320\n \n $cluster\n [1] 2 1 5 5 8 5 5 4 4 6 7 8 5 8 6 2 6 7 8 5 8 5 5 3 5 5 5 2 3 1 4 6 6 8 8 5 1 3\n [39] 4 3 8 3 8 3 5 8 3 3 6 3\n \n $size\n [1] 3 3 9 4 13 6 2 10\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 3.064769 2.934908 2.738242 3.298497 2.844551\n [2,] 3.015320 3.013633 2.770685 2.955266 3.051938\n [3,] 4.513284 3.880610 4.156640 4.325825 3.100727\n [4,] 2.849448 2.974869 2.946936 2.447302 3.327008\n [5,] 2.491785 2.790580 3.414452 1.913792 3.267746\n [6,] 3.096226 2.912256 2.765275 3.344278 2.809726\n [7,] 2.887287 3.006538 2.990962 2.472479 3.301115\n [8,] 3.248763 4.155510 1.973610 3.654074 2.660320\n \n $cluster\n [1] 2 1 5 5 8 5 5 4 4 6 7 8 5 8 6 2 6 7 8 5 8 5 5 3 5 5 5 2 3 1 4 6 6 8 8 5 1 3\n [39] 4 3 8 3 8 3 5 8 3 3 6 3\n \n $size\n [1] 3 3 9 4 13 6 2 10\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.977810 2.870101 3.038839 3.304946 3.270245\n [2,] 2.977707 2.870096 3.038940 3.304566 3.270613\n [3,] 2.977625 2.870094 3.039058 3.304200 3.270973\n [4,] 2.977839 2.870101 3.038744 3.305169 3.270018\n [5,] 2.977842 2.870101 3.038733 3.305195 3.269992\n [6,] 2.977807 2.870099 3.038780 3.305043 3.270142\n [7,] 2.977696 2.870096 3.038949 3.304530 3.270648\n [8,] 2.977984 2.870108 3.038509 3.305866 3.269326\n \n $cluster\n [1] 3 3 3 3 8 8 3 3 8 3 3 8 8 3 8 8 8 3 8 3 8 8 8 3 3 8 8 3 8 3 3 3 3 8 8 8 3 3\n [39] 8 3 8 8 3 3 8 8 8 8 3 3\n \n $size\n [1] 0 0 25 0 0 0 0 25\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.977810 2.870101 3.038839 3.304946 3.270245\n [2,] 2.977707 2.870096 3.038940 3.304566 3.270613\n [3,] 2.977625 2.870094 3.039058 3.304200 3.270973\n [4,] 2.977839 2.870101 3.038744 3.305169 3.270018\n [5,] 2.977842 2.870101 3.038733 3.305195 3.269992\n [6,] 2.977807 2.870099 3.038780 3.305043 3.270142\n [7,] 2.977696 2.870096 3.038949 3.304530 3.270648\n [8,] 2.977984 2.870108 3.038509 3.305866 3.269326\n \n $cluster\n [1] 3 3 3 3 8 8 3 3 8 3 3 8 8 3 8 8 8 3 8 3 8 8 8 3 3 8 8 3 8 3 3 3 3 8 8 8 3 3\n [39] 8 3 8 8 3 3 8 8 8 8 3 3\n \n $size\n [1] 0 0 25 0 0 0 0 25\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 3 4 3 7 5 8 1 1\n [39] 6 5 5 6 2 3 7 3 5 7 2 3\n \n $size\n [1] 9 6 8 3 11 4 6 3\n \n Data ==> memory, centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.888524 2.603497 2.066828 2.375178 4.408128\n [2,] 2.221906 3.679545 2.487253 2.001356 4.078200\n [3,] 3.363949 1.514688 3.809288 1.941361 3.547053\n [4,] 2.513951 3.081818 4.215258 1.409905 3.593325\n [5,] 1.676915 3.191770 2.080428 4.447292 2.429021\n [6,] 3.672408 1.905373 2.369369 4.077653 2.867364\n [7,] 3.815225 4.217887 1.862281 2.514782 2.702868\n [8,] 3.703079 4.045515 3.700746 3.861883 2.418166\n \n $cluster\n [1] 1 6 3 4 7 4 3 3 2 6 3 8 2 7 6 7 6 7 5 4 5 1 4 8 8 4 4 8 8 5 1 6 8 2 7",
"check": "running tests for arch ‘x64’",
"flavors": [
"r-release-windows-ix86+x86_64"
]
}
],
"additional_issues": [
]
}
},
{
"package": "clusternor",
"date_updated": "2020-11-22T15:03:27.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 10,
"warn": 0,
"error": 2,
"fail": 0
},
"checks": [
{
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"tcheck": 34.99,
"ttotal": 149.21,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/clusternor-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
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"tcheck": 26.35,
"ttotal": 150.81,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/clusternor-00check.html"
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{
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},
{
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"ttotal": 132.9,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/clusternor-00check.html"
},
{
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},
{
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},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "0.0-4",
"tinstall": 157,
"tcheck": 59,
"ttotal": 216,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/clusternor-00check.html"
},
{
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},
{
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}
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"check_details": {
"details": [
{
"version": "0.0-4",
"output": "GNU make is a SystemRequirements.",
"check": "for GNU extensions in Makefiles",
"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": "0.0-4",
"output": " installed size is 7.3Mb\n sub-directories of 1Mb or more:\n libs 7.2Mb",
"check": "installed package size",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-release-macos-x86_64",
"r-oldrel-macos-x86_64"
]
},
{
"version": "0.0-4",
"output": " Running ‘testthat.R’ [0m/180m]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> memory\n \n ── FAILURE (test-fuzzy-cmeans.R:65:15): Data in-mem compared to same ───────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.4412906\n Component \"cluster\": Mean relative difference: 1\n Component \"size\": Mean relative difference: 0.06451613\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944158 1.873928 1.811176 1.829112 1.705413\n [2,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [3,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [4,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [5,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [6,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [7,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [8,] 1.944158 1.873934 1.811168 1.829129 1.705400\n \n $cluster\n [1] 1 3 1 1 3 1 1 1 1 3 1 3 1 3 3 1 3 1 3 1 3 1 1 3 3 1 1 3 3 3 1 3 3 1 3 1 3 3\n [39] 1 3 3 3 3 3 1 3 3 3 3 3\n \n $size\n [1] 21 0 29 0 0 0 0 0\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [2,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [3,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [4,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [5,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [6,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [7,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [8,] 1.944146 1.873190 1.812506 1.827033 1.706816\n \n $cluster\n [1] 8 2 8 8 2 8 8 8 8 2 8 2 8 3 2 8 2 8 2 8 2 8 8 2 8 8 8 3 2 2 8 2 2 7 2 8 2 2\n [39] 8 2 2 2 2 2 8 2 8 2 2 8\n \n $size\n [1] 0 24 2 0 0 0 1 23\n \n ── FAILURE (test-fuzzy-cmeans.R:70:15): data IM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.0001503612\n Component \"cluster\": Mean relative difference: 1.813725\n Component \"size\": Mean relative difference: 1.92\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642514 1.558093 1.687896 1.796400 1.725578\n [2,] 1.642514 1.558094 1.687897 1.796398 1.725580\n [3,] 1.612397 1.567911 1.701209 1.712948 1.806670\n [4,] 1.640636 1.558215 1.691796 1.777121 1.745306\n [5,] 1.642521 1.558125 1.687746 1.796934 1.725020\n [6,] 1.642517 1.558104 1.687841 1.796596 1.725374\n [7,] 3.285028 3.116189 3.375782 3.592836 3.451118\n [8,] 1.642522 1.558140 1.687696 1.797113 1.724830\n \n $cluster\n [1] 4 3 3 3 8 8 3 3 8 3 4 8 8 4 4 8 1 3 8 4 8 8 2 3 3 8 2 3 8 3 3 3 3 8 8 1 3 3\n [39] 8 4 8 8 3 3 8 4 8 8 3 3\n \n $size\n [1] 2 2 20 7 0 0 0 19\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642494 1.558368 1.686505 1.797907 1.723900\n [2,] 1.642493 1.558366 1.686515 1.797869 1.723940\n [3,] 1.642493 1.558362 1.686536 1.797792 1.724021\n [4,] 1.606360 1.563749 1.711082 1.680072 1.834862\n [5,] 1.642499 1.558429 1.686218 1.798925 1.722834\n [6,] 1.642495 1.558377 1.686463 1.798055 1.723745\n [7,] 1.642494 1.558367 1.686510 1.797889 1.723919\n [8,] 1.642497 1.558409 1.686342 1.798490 1.723283\n \n $cluster\n [1] 3 4 4 4 5 5 4 4 5 4 4 5 5 4 3 5 3 4 5 3 5 5 3 4 4 5 3 4 5 4 4 4 4 5 5 3 4 4\n [39] 5 3 5 5 4 4 5 3 5 5 4 4\n \n $size\n [1] 0 0 9 22 19 0 0 0\n \n ── FAILURE (test-fuzzy-cmeans.R:76:15): data EM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.1176461\n Component \"cluster\": Mean relative difference: 0.3697479\n Component \"size\": Mean relative difference: 1.36\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 ",
"check": "tests",
"flavors": [
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},
{
"version": "0.0-4",
"output": " Running 'testthat.R' [1s]\nRunning the tests in 'tests/testthat.R' failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Warning: stack imbalance in '{', 55 then 56\n Warning: stack imbalance in '<-', 50 then 51\n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 3.064769 2.934908 2.738242 3.298497 2.844551\n [2,] 3.015320 3.013633 2.770685 2.955266 3.051938\n [3,] 4.513284 3.880610 4.156640 4.325825 3.100727\n [4,] 2.849448 2.974869 2.946936 2.447302 3.327008\n [5,] 2.491785 2.790580 3.414452 1.913792 3.267746\n [6,] 3.096226 2.912256 2.765275 3.344278 2.809726\n [7,] 2.887287 3.006538 2.990962 2.472479 3.301115\n [8,] 3.248763 4.155510 1.973610 3.654074 2.660320\n \n $cluster\n [1] 2 1 5 5 8 5 5 4 4 6 7 8 5 8 6 2 6 7 8 5 8 5 5 3 5 5 5 2 3 1 4 6 6 8 8 5 1 3\n [39] 4 3 8 3 8 3 5 8 3 3 6 3\n \n $size\n [1] 3 3 9 4 13 6 2 10\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 3.064769 2.934908 2.738242 3.298497 2.844551\n [2,] 3.015320 3.013633 2.770685 2.955266 3.051938\n [3,] 4.513284 3.880610 4.156640 4.325825 3.100727\n [4,] 2.849448 2.974869 2.946936 2.447302 3.327008\n [5,] 2.491785 2.790580 3.414452 1.913792 3.267746\n [6,] 3.096226 2.912256 2.765275 3.344278 2.809726\n [7,] 2.887287 3.006538 2.990962 2.472479 3.301115\n [8,] 3.248763 4.155510 1.973610 3.654074 2.660320\n \n $cluster\n [1] 2 1 5 5 8 5 5 4 4 6 7 8 5 8 6 2 6 7 8 5 8 5 5 3 5 5 5 2 3 1 4 6 6 8 8 5 1 3\n [39] 4 3 8 3 8 3 5 8 3 3 6 3\n \n $size\n [1] 3 3 9 4 13 6 2 10\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.977810 2.870101 3.038839 3.304946 3.270245\n [2,] 2.977707 2.870096 3.038940 3.304566 3.270613\n [3,] 2.977625 2.870094 3.039058 3.304200 3.270973\n [4,] 2.977839 2.870101 3.038744 3.305169 3.270018\n [5,] 2.977842 2.870101 3.038733 3.305195 3.269992\n [6,] 2.977807 2.870099 3.038780 3.305043 3.270142\n [7,] 2.977696 2.870096 3.038949 3.304530 3.270648\n [8,] 2.977984 2.870108 3.038509 3.305866 3.269326\n \n $cluster\n [1] 3 3 3 3 8 8 3 3 8 3 3 8 8 3 8 8 8 3 8 3 8 8 8 3 3 8 8 3 8 3 3 3 3 8 8 8 3 3\n [39] 8 3 8 8 3 3 8 8 8 8 3 3\n \n $size\n [1] 0 0 25 0 0 0 0 25\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.977810 2.870101 3.038839 3.304946 3.270245\n [2,] 2.977707 2.870096 3.038940 3.304566 3.270613\n [3,] 2.977625 2.870094 3.039058 3.304200 3.270973\n [4,] 2.977839 2.870101 3.038744 3.305169 3.270018\n [5,] 2.977842 2.870101 3.038733 3.305195 3.269992\n [6,] 2.977807 2.870099 3.038780 3.305043 3.270142\n [7,] 2.977696 2.870096 3.038949 3.304530 3.270648\n [8,] 2.977984 2.870108 3.038509 3.305866 3.269326\n \n $cluster\n [1] 3 3 3 3 8 8 3 3 8 3 3 8 8 3 8 8 8 3 8 3 8 8 8 3 3 8 8 3 8 3 3 3 3 8 8 8 3 3\n [39] 8 3 8 8 3 3 8 8 8 8 3 3\n \n $size\n [1] 0 0 25 0 0 0 0 25\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 3 4 3 7 5 8 1 1\n [39] 6 5 5 6 2 3 7 3 5 7 2 3\n \n $size\n [1] 9 6 8 3 11 4 6 3\n \n Data ==> memory, centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.888524 2.603497 2.066828 2.375178 4.408128\n [2,] 2.221906 3.679545 2.487253 2.001356 4.078200\n [3,] 3.363949 1.514688 3.809288 1.941361 3.547053\n [4,] 2.513951 3.081818 4.215258 1.409905 3.593325\n [5,] 1.676915 3.191770 2.080428 4.447292 2.429021\n [6,] 3.672408 1.905373 2.369369 4.077653 2.867364\n [7,] 3.815225 4.217887 1.862281 2.514782 2.702868\n [8,] 3.703079 4.045515 3.700746 3.861883 2.418166\n \n $cluster\n [1] 1 6 3 4 7 4 3 3 2 6 3 8 2 7 6 7 6 7 5 4 5 1 4 8 8 4 4 8 8 5 1 6 8 2 7",
"check": "running tests for arch ‘x64’",
"flavors": [
"r-release-windows-ix86+x86_64"
]
}
],
"additional_issues": [
]
}
},
{
"package": "clusternor",
"date_updated": "2020-11-23T15:03:32.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 10,
"warn": 0,
"error": 2,
"fail": 0
},
"checks": [
{
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"tcheck": 34.99,
"ttotal": 149.21,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/clusternor-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
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"tinstall": 125.1,
"tcheck": 26.94,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/clusternor-00check.html"
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{
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{
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},
{
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},
{
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"ttotal": 132.9,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/clusternor-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
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},
{
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},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "0.0-4",
"tinstall": 157,
"tcheck": 59,
"ttotal": 216,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/clusternor-00check.html"
},
{
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},
{
"flavor": "r-oldrel-windows-ix86+x86_64",
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}
],
"check_details": {
"details": [
{
"version": "0.0-4",
"output": "GNU make is a SystemRequirements.",
"check": "for GNU extensions in Makefiles",
"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": "0.0-4",
"output": " installed size is 7.3Mb\n sub-directories of 1Mb or more:\n libs 7.2Mb",
"check": "installed package size",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-release-macos-x86_64",
"r-oldrel-macos-x86_64"
]
},
{
"version": "0.0-4",
"output": " Running ‘testthat.R’ [0m/180m]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> memory\n \n ── FAILURE (test-fuzzy-cmeans.R:65:15): Data in-mem compared to same ───────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.4412906\n Component \"cluster\": Mean relative difference: 1\n Component \"size\": Mean relative difference: 0.06451613\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944158 1.873928 1.811176 1.829112 1.705413\n [2,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [3,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [4,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [5,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [6,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [7,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [8,] 1.944158 1.873934 1.811168 1.829129 1.705400\n \n $cluster\n [1] 1 3 1 1 3 1 1 1 1 3 1 3 1 3 3 1 3 1 3 1 3 1 1 3 3 1 1 3 3 3 1 3 3 1 3 1 3 3\n [39] 1 3 3 3 3 3 1 3 3 3 3 3\n \n $size\n [1] 21 0 29 0 0 0 0 0\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [2,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [3,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [4,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [5,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [6,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [7,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [8,] 1.944146 1.873190 1.812506 1.827033 1.706816\n \n $cluster\n [1] 8 2 8 8 2 8 8 8 8 2 8 2 8 3 2 8 2 8 2 8 2 8 8 2 8 8 8 3 2 2 8 2 2 7 2 8 2 2\n [39] 8 2 2 2 2 2 8 2 8 2 2 8\n \n $size\n [1] 0 24 2 0 0 0 1 23\n \n ── FAILURE (test-fuzzy-cmeans.R:70:15): data IM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.0001503612\n Component \"cluster\": Mean relative difference: 1.813725\n Component \"size\": Mean relative difference: 1.92\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642514 1.558093 1.687896 1.796400 1.725578\n [2,] 1.642514 1.558094 1.687897 1.796398 1.725580\n [3,] 1.612397 1.567911 1.701209 1.712948 1.806670\n [4,] 1.640636 1.558215 1.691796 1.777121 1.745306\n [5,] 1.642521 1.558125 1.687746 1.796934 1.725020\n [6,] 1.642517 1.558104 1.687841 1.796596 1.725374\n [7,] 3.285028 3.116189 3.375782 3.592836 3.451118\n [8,] 1.642522 1.558140 1.687696 1.797113 1.724830\n \n $cluster\n [1] 4 3 3 3 8 8 3 3 8 3 4 8 8 4 4 8 1 3 8 4 8 8 2 3 3 8 2 3 8 3 3 3 3 8 8 1 3 3\n [39] 8 4 8 8 3 3 8 4 8 8 3 3\n \n $size\n [1] 2 2 20 7 0 0 0 19\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642494 1.558368 1.686505 1.797907 1.723900\n [2,] 1.642493 1.558366 1.686515 1.797869 1.723940\n [3,] 1.642493 1.558362 1.686536 1.797792 1.724021\n [4,] 1.606360 1.563749 1.711082 1.680072 1.834862\n [5,] 1.642499 1.558429 1.686218 1.798925 1.722834\n [6,] 1.642495 1.558377 1.686463 1.798055 1.723745\n [7,] 1.642494 1.558367 1.686510 1.797889 1.723919\n [8,] 1.642497 1.558409 1.686342 1.798490 1.723283\n \n $cluster\n [1] 3 4 4 4 5 5 4 4 5 4 4 5 5 4 3 5 3 4 5 3 5 5 3 4 4 5 3 4 5 4 4 4 4 5 5 3 4 4\n [39] 5 3 5 5 4 4 5 3 5 5 4 4\n \n $size\n [1] 0 0 9 22 19 0 0 0\n \n ── FAILURE (test-fuzzy-cmeans.R:76:15): data EM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.1176461\n Component \"cluster\": Mean relative difference: 0.3697479\n Component \"size\": Mean relative difference: 1.36\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 ",
"check": "tests",
"flavors": [
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},
{
"version": "0.0-4",
"output": " Running 'testthat.R' [1s]\nRunning the tests in 'tests/testthat.R' failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Warning: stack imbalance in '{', 55 then 56\n Warning: stack imbalance in '<-', 50 then 51\n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 3.064769 2.934908 2.738242 3.298497 2.844551\n [2,] 3.015320 3.013633 2.770685 2.955266 3.051938\n [3,] 4.513284 3.880610 4.156640 4.325825 3.100727\n [4,] 2.849448 2.974869 2.946936 2.447302 3.327008\n [5,] 2.491785 2.790580 3.414452 1.913792 3.267746\n [6,] 3.096226 2.912256 2.765275 3.344278 2.809726\n [7,] 2.887287 3.006538 2.990962 2.472479 3.301115\n [8,] 3.248763 4.155510 1.973610 3.654074 2.660320\n \n $cluster\n [1] 2 1 5 5 8 5 5 4 4 6 7 8 5 8 6 2 6 7 8 5 8 5 5 3 5 5 5 2 3 1 4 6 6 8 8 5 1 3\n [39] 4 3 8 3 8 3 5 8 3 3 6 3\n \n $size\n [1] 3 3 9 4 13 6 2 10\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 3.064769 2.934908 2.738242 3.298497 2.844551\n [2,] 3.015320 3.013633 2.770685 2.955266 3.051938\n [3,] 4.513284 3.880610 4.156640 4.325825 3.100727\n [4,] 2.849448 2.974869 2.946936 2.447302 3.327008\n [5,] 2.491785 2.790580 3.414452 1.913792 3.267746\n [6,] 3.096226 2.912256 2.765275 3.344278 2.809726\n [7,] 2.887287 3.006538 2.990962 2.472479 3.301115\n [8,] 3.248763 4.155510 1.973610 3.654074 2.660320\n \n $cluster\n [1] 2 1 5 5 8 5 5 4 4 6 7 8 5 8 6 2 6 7 8 5 8 5 5 3 5 5 5 2 3 1 4 6 6 8 8 5 1 3\n [39] 4 3 8 3 8 3 5 8 3 3 6 3\n \n $size\n [1] 3 3 9 4 13 6 2 10\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.977810 2.870101 3.038839 3.304946 3.270245\n [2,] 2.977707 2.870096 3.038940 3.304566 3.270613\n [3,] 2.977625 2.870094 3.039058 3.304200 3.270973\n [4,] 2.977839 2.870101 3.038744 3.305169 3.270018\n [5,] 2.977842 2.870101 3.038733 3.305195 3.269992\n [6,] 2.977807 2.870099 3.038780 3.305043 3.270142\n [7,] 2.977696 2.870096 3.038949 3.304530 3.270648\n [8,] 2.977984 2.870108 3.038509 3.305866 3.269326\n \n $cluster\n [1] 3 3 3 3 8 8 3 3 8 3 3 8 8 3 8 8 8 3 8 3 8 8 8 3 3 8 8 3 8 3 3 3 3 8 8 8 3 3\n [39] 8 3 8 8 3 3 8 8 8 8 3 3\n \n $size\n [1] 0 0 25 0 0 0 0 25\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.977810 2.870101 3.038839 3.304946 3.270245\n [2,] 2.977707 2.870096 3.038940 3.304566 3.270613\n [3,] 2.977625 2.870094 3.039058 3.304200 3.270973\n [4,] 2.977839 2.870101 3.038744 3.305169 3.270018\n [5,] 2.977842 2.870101 3.038733 3.305195 3.269992\n [6,] 2.977807 2.870099 3.038780 3.305043 3.270142\n [7,] 2.977696 2.870096 3.038949 3.304530 3.270648\n [8,] 2.977984 2.870108 3.038509 3.305866 3.269326\n \n $cluster\n [1] 3 3 3 3 8 8 3 3 8 3 3 8 8 3 8 8 8 3 8 3 8 8 8 3 3 8 8 3 8 3 3 3 3 8 8 8 3 3\n [39] 8 3 8 8 3 3 8 8 8 8 3 3\n \n $size\n [1] 0 0 25 0 0 0 0 25\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 3 4 3 7 5 8 1 1\n [39] 6 5 5 6 2 3 7 3 5 7 2 3\n \n $size\n [1] 9 6 8 3 11 4 6 3\n \n Data ==> memory, centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.888524 2.603497 2.066828 2.375178 4.408128\n [2,] 2.221906 3.679545 2.487253 2.001356 4.078200\n [3,] 3.363949 1.514688 3.809288 1.941361 3.547053\n [4,] 2.513951 3.081818 4.215258 1.409905 3.593325\n [5,] 1.676915 3.191770 2.080428 4.447292 2.429021\n [6,] 3.672408 1.905373 2.369369 4.077653 2.867364\n [7,] 3.815225 4.217887 1.862281 2.514782 2.702868\n [8,] 3.703079 4.045515 3.700746 3.861883 2.418166\n \n $cluster\n [1] 1 6 3 4 7 4 3 3 2 6 3 8 2 7 6 7 6 7 5 4 5 1 4 8 8 4 4 8 8 5 1 6 8 2 7",
"check": "running tests for arch ‘x64’",
"flavors": [
"r-release-windows-ix86+x86_64"
]
}
],
"additional_issues": [
]
}
},
{
"package": "clusternor",
"date_updated": "2020-11-24T15:03:29.000Z",
"summary": {
"any": true,
"ok": 0,
"note": 10,
"warn": 0,
"error": 2,
"fail": 0
},
"checks": [
{
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"tcheck": 34.99,
"ttotal": 149.21,
"status": "NOTE",
"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-clang/clusternor-00check.html"
},
{
"flavor": "r-devel-linux-x86_64-debian-gcc",
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"tcheck": 26.17,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-devel-linux-x86_64-debian-gcc/clusternor-00check.html"
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},
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},
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"ttotal": 132.9,
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"check_url": "https://www.R-project.org/nosvn/R.check/r-patched-solaris-x86/clusternor-00check.html"
},
{
"flavor": "r-release-linux-x86_64",
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},
{
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},
{
"flavor": "r-release-windows-ix86+x86_64",
"version": "0.0-4",
"tinstall": 157,
"tcheck": 59,
"ttotal": 216,
"status": "ERROR",
"check_url": "https://www.R-project.org/nosvn/R.check/r-release-windows-ix86+x86_64/clusternor-00check.html"
},
{
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},
{
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}
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"check_details": {
"details": [
{
"version": "0.0-4",
"output": "GNU make is a SystemRequirements.",
"check": "for GNU extensions in Makefiles",
"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": "0.0-4",
"output": " installed size is 7.3Mb\n sub-directories of 1Mb or more:\n libs 7.2Mb",
"check": "installed package size",
"flavors": [
"r-devel-linux-x86_64-fedora-clang",
"r-release-macos-x86_64",
"r-oldrel-macos-x86_64"
]
},
{
"version": "0.0-4",
"output": " Running ‘testthat.R’ [0m/180m]\nRunning the tests in ‘tests/testthat.R’ failed.\nComplete output:\n > library(testthat)\n > library(clusternor)\n Loading required package: Rcpp\n > \n > test_check(\"clusternor\")\n \n \n ***Running test for fcmeans***\n \n Data ==> memory, centroids ==> memory\n \n Data ==> memory, centroids ==> memory\n \n ── FAILURE (test-fuzzy-cmeans.R:65:15): Data in-mem compared to same ───────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.4412906\n Component \"cluster\": Mean relative difference: 1\n Component \"size\": Mean relative difference: 0.06451613\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944158 1.873928 1.811176 1.829112 1.705413\n [2,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [3,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [4,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [5,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [6,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [7,] 1.944158 1.873934 1.811168 1.829129 1.705400\n [8,] 1.944158 1.873934 1.811168 1.829129 1.705400\n \n $cluster\n [1] 1 3 1 1 3 1 1 1 1 3 1 3 1 3 3 1 3 1 3 1 3 1 1 3 3 1 1 3 3 3 1 3 3 1 3 1 3 3\n [39] 1 3 3 3 3 3 1 3 3 3 3 3\n \n $size\n [1] 21 0 29 0 0 0 0 0\n \n Data ==> memory, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [2,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [3,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [4,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [5,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [6,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [7,] 1.944159 1.874036 1.810984 1.829416 1.705205\n [8,] 1.944146 1.873190 1.812506 1.827033 1.706816\n \n $cluster\n [1] 8 2 8 8 2 8 8 8 8 2 8 2 8 3 2 8 2 8 2 8 2 8 8 2 8 8 8 3 2 2 8 2 2 7 2 8 2 2\n [39] 8 2 2 2 2 2 8 2 8 2 2 8\n \n $size\n [1] 0 24 2 0 0 0 1 23\n \n ── FAILURE (test-fuzzy-cmeans.R:70:15): data IM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.0001503612\n Component \"cluster\": Mean relative difference: 1.813725\n Component \"size\": Mean relative difference: 1.92\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642514 1.558093 1.687896 1.796400 1.725578\n [2,] 1.642514 1.558094 1.687897 1.796398 1.725580\n [3,] 1.612397 1.567911 1.701209 1.712948 1.806670\n [4,] 1.640636 1.558215 1.691796 1.777121 1.745306\n [5,] 1.642521 1.558125 1.687746 1.796934 1.725020\n [6,] 1.642517 1.558104 1.687841 1.796596 1.725374\n [7,] 3.285028 3.116189 3.375782 3.592836 3.451118\n [8,] 1.642522 1.558140 1.687696 1.797113 1.724830\n \n $cluster\n [1] 4 3 3 3 8 8 3 3 8 3 4 8 8 4 4 8 1 3 8 4 8 8 2 3 3 8 2 3 8 3 3 3 3 8 8 1 3 3\n [39] 8 4 8 8 3 3 8 4 8 8 3 3\n \n $size\n [1] 2 2 20 7 0 0 0 19\n \n Data ==> disk, centroids ==> compute\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 21\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 1.642494 1.558368 1.686505 1.797907 1.723900\n [2,] 1.642493 1.558366 1.686515 1.797869 1.723940\n [3,] 1.642493 1.558362 1.686536 1.797792 1.724021\n [4,] 1.606360 1.563749 1.711082 1.680072 1.834862\n [5,] 1.642499 1.558429 1.686218 1.798925 1.722834\n [6,] 1.642495 1.558377 1.686463 1.798055 1.723745\n [7,] 1.642494 1.558367 1.686510 1.797889 1.723919\n [8,] 1.642497 1.558409 1.686342 1.798490 1.723283\n \n $cluster\n [1] 3 4 4 4 5 5 4 4 5 4 4 5 5 4 3 5 3 4 5 3 5 5 3 4 4 5 3 4 5 4 4 4 4 5 5 3 4 4\n [39] 5 3 5 5 4 4 5 3 5 5 4 4\n \n $size\n [1] 0 0 9 22 19 0 0 0\n \n ── FAILURE (test-fuzzy-cmeans.R:76:15): data EM compared to same ───────────────\n `ret1` not identical to `ret2`.\n Component \"centers\": Mean relative difference: 0.1176461\n Component \"cluster\": Mean relative difference: 0.3697479\n Component \"size\": Mean relative difference: 1.36\n \n \n \n ***Running test for hmeans***\n \n Data ==> ,centroids ==> memory\n \n $nrow\n [1] 50\n \n $ncol\n [1] 5\n \n $iters\n [1] 20\n \n $k\n [1] 8\n \n $centers\n [,1] [,2] [,3] [,4] [,5]\n [1,] 2.426766 2.953499 4.043335 2.244559 3.710492\n [2,] 4.122332 2.465384 3.589322 2.166748 3.575502\n [3,] 2.626000 3.584148 2.022466 2.295955 4.134119\n [4,] 1.943198 1.376050 2.189751 3.513497 4.592882\n [5,] 4.307359 2.781234 3.196755 4.311270 3.415023\n [6,] 2.795000 3.228041 4.430282 4.288907 1.526741\n [7,] 1.580627 3.095462 1.962946 4.057300 1.642651\n [8,] 2.477416 2.417114 2.200970 4.737974 2.761689\n \n $cluster\n [1] 5 1 3 2 7 8 1 1 8 1 4 7 6 1 5 5 5 1 5 2 6 5 2 3 4 5 1 2 7 3 ",
"check": "tests",
"flavors": [
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},
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"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.",
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"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/Rtmp8afTpk/RLIBS_2d61837db548c/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp8afTpk/RLIBS_2d61837db548c/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/Rtmp8afTpk/RLIBS_2d61837db548c/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp8afTpk/RLIBS_2d61837db548c/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/Rtmp25YxFE/RLIBS_211c441141265/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp25YxFE/RLIBS_211c441141265/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/Rtmp25YxFE/RLIBS_211c441141265/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp25YxFE/RLIBS_211c441141265/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpGGnrop/RLIBS_2cf0c1b71e26/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpGGnrop/RLIBS_2cf0c1b71e26/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/Rtmpg7JUDc/RLIBS_7cbc5e3f238/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpg7JUDc/RLIBS_7cbc5e3f238/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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",
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"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.",
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"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/RtmpGGnrop/RLIBS_2cf0c1b71e26/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpGGnrop/RLIBS_2cf0c1b71e26/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/Rtmpg7JUDc/RLIBS_7cbc5e3f238/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmpg7JUDc/RLIBS_7cbc5e3f238/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpuOCDsK/RLIBS_adac704f3f05/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpuOCDsK/RLIBS_adac704f3f05/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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cchecks::cch_pkgs_search(q = "memory")
$error
NULL
$count
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$returned
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$data
[90m# A tibble: 30 x 5[39m
package date_updated summary$any $ok $note $warn $error $fail checks
[3m[90m<chr>[39m[23m [3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<list>[39m[23m
[90m 1[39m cluste… 2020-11-21T… TRUE 0 10 0 2 0 [90m<df[,[0m…
[90m 2[39m cluste… 2020-11-22T… TRUE 0 10 0 2 0 [90m<df[,[0m…
[90m 3[39m cluste… 2020-11-23T… TRUE 0 10 0 2 0 [90m<df[,[0m…
[90m 4[39m cluste… 2020-11-24T… TRUE 0 10 0 2 0 [90m<df[,[0m…
[90m 5[39m allan 2020-10-31T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 6[39m allan 2020-11-01T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 7[39m allan 2020-11-02T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 8[39m allan 2020-11-03T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m 9[39m allan 2020-11-04T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m10[39m allan 2020-11-05T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m# … with 20 more rows, and 2 more variables: check_details$details [3m[90m<list>[90m[23m,[39m
[90m# $additional_issues [3m[90m<list>[90m[23m[39m
curl https://cranchecks.info/search?q=memory&one_each=true&limit=2 | jq .
HTTP/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 49964
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:42 GMT
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"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.",
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"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/Rtmp8afTpk/RLIBS_2d61837db548c/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/Rtmp8afTpk/RLIBS_2d61837db548c/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpesuR5a/RLIBS_2c8e814a3e5/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"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/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv)\nError: connections left open:\n\tD:/temp/RtmpSao4Sm/RLIBS_338e4550554f8/allan/extdata/SampleDataFile.csv (file)\nExecution halted",
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"version": "0.15.2",
"output": " Running ‘testthat.R’ [10s/15s]\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 ── Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`) ────\n 'memory.limit()' is Windows-specific\n \n ── ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`) ─────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-exchangesStack.R:16:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-exchangesStack.R:26:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-exchangesStack.R:27:4\n \n ── ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-plotMap.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-plotMap.R:17:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-plotMap.R:18:4\n \n ── ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`) ───────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-prodStack.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-prodStack.R:12:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-prodStack.R:13:4\n \n ── ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-ts_plot.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-ts_plot.R:21:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-ts_plot.R:22:4\n \n ══ testthat results ═══════════════════════════════════════════════════════════\n Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`)\n ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`)\n ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`)\n \n [ FAIL 4 | WARN 1 | SKIP 0 | PASS 122 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-devel-linux-x86_64-debian-gcc"
]
},
{
"version": "0.15.2",
"output": " Running ‘testthat.R’ [18s/57s]\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 ── Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`) ────\n 'memory.limit()' is Windows-specific\n \n ── ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`) ─────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-exchangesStack.R:16:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-exchangesStack.R:26:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-exchangesStack.R:27:4\n \n ── ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-plotMap.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-plotMap.R:17:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-plotMap.R:18:4\n \n ── ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`) ───────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-prodStack.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-prodStack.R:12:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-prodStack.R:13:4\n \n ── ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-ts_plot.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-ts_plot.R:21:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-ts_plot.R:22:4\n \n ══ testthat results ═══════════════════════════════════════════════════════════\n Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`)\n ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`)\n ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`)\n \n [ FAIL 4 | WARN 1 | SKIP 0 | PASS 122 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-devel-linux-x86_64-fedora-clang"
]
},
{
"version": "0.15.2",
"output": " Running ‘testthat.R’ [16s/18s]\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 ── Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`) ────\n 'memory.limit()' is Windows-specific\n \n ── ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`) ─────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-exchangesStack.R:16:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-exchangesStack.R:26:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-exchangesStack.R:27:4\n \n ── ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-plotMap.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-plotMap.R:17:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-plotMap.R:18:4\n \n ── ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`) ───────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-prodStack.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-prodStack.R:12:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-prodStack.R:13:4\n \n ── ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-ts_plot.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-ts_plot.R:21:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-ts_plot.R:22:4\n \n ══ testthat results ═══════════════════════════════════════════════════════════\n Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`)\n ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`)\n ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`)\n \n [ FAIL 4 | WARN 1 | SKIP 0 | PASS 122 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-devel-linux-x86_64-fedora-gcc"
]
},
{
"version": "0.15.2",
"output": " Running ‘testthat.R’ [13s/15s]\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 ── Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`) ────\n 'memory.limit()' is Windows-specific\n \n ── ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`) ─────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-exchangesStack.R:16:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-exchangesStack.R:26:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-exchangesStack.R:27:4\n \n ── ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-plotMap.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-plotMap.R:17:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-plotMap.R:18:4\n \n ── ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`) ───────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-prodStack.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-prodStack.R:12:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-prodStack.R:13:4\n \n ── ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-ts_plot.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-ts_plot.R:21:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-ts_plot.R:22:4\n \n ══ testthat results ═══════════════════════════════════════════════════════════\n Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`)\n ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`)\n ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`)\n \n [ FAIL 4 | WARN 1 | SKIP 0 | PASS 122 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-patched-linux-x86_64"
]
},
{
"version": "0.15.2",
"output": " Running ‘testthat.R’ [25s/29s]\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 ── Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`) ────\n 'memory.limit()' is Windows-specific\n \n ── ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`) ─────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-exchangesStack.R:16:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-exchangesStack.R:26:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-exchangesStack.R:27:4\n \n ── ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-plotMap.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-plotMap.R:17:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-plotMap.R:18:4\n \n ── ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`) ───────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-prodStack.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-prodStack.R:12:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-prodStack.R:13:4\n \n ── ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-ts_plot.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-ts_plot.R:21:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-ts_plot.R:22:4\n \n ══ testthat results ═══════════════════════════════════════════════════════════\n Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`)\n ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`)\n ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`)\n \n [ FAIL 4 | WARN 1 | SKIP 0 | PASS 122 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-patched-solaris-x86"
]
},
{
"version": "0.15.2",
"output": " Running ‘testthat.R’ [13s/14s]\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 ── Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`) ────\n 'memory.limit()' is Windows-specific\n \n ── ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`) ─────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-exchangesStack.R:16:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-exchangesStack.R:26:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-exchangesStack.R:27:4\n \n ── ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-plotMap.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-plotMap.R:17:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-plotMap.R:18:4\n \n ── ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`) ───────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-prodStack.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-prodStack.R:12:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-prodStack.R:13:4\n \n ── ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`) ─────────────\n Error: `desc` must be a string\n Backtrace:\n █\n 1. └─testthat::describe(...) test-ts_plot.R:3:0\n 2. └─base::eval(substitute(code), describe_environment)\n 3. └─base::eval(substitute(code), describe_environment)\n 4. └─base::lapply(...) test-ts_plot.R:21:2\n 5. └─antaresViz:::FUN(X[[i]], ...)\n 6. └─testthat::test_that(...) test-ts_plot.R:22:4\n \n ══ testthat results ═══════════════════════════════════════════════════════════\n Warning (test-exchangesStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-exchangesStack.R:16:1): (code run outside of `test_that()`)\n ERROR (test-plotMap.R:3:1): (code run outside of `test_that()`)\n ERROR (test-prodStack.R:3:1): (code run outside of `test_that()`)\n ERROR (test-ts_plot.R:3:1): (code run outside of `test_that()`)\n \n [ FAIL 4 | WARN 1 | SKIP 0 | PASS 122 ]\n Error: Test failures\n Execution halted",
"check": "tests",
"flavors": [
"r-release-linux-x86_64"
]
}
],
"additional_issues": [
]
}
}
]
}
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 $fail checks
[3m[90m<chr>[39m[23m [3m[90m<chr>[39m[23m [3m[90m<lgl>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<int>[39m[23m [3m[90m<list>[39m[23m
[90m1[39m allan 2020-10-31T… TRUE 0 9 0 3 0 [90m<df[,[0m…
[90m2[39m antare… 2020-11-03T… TRUE 5 0 0 7 0 [90m<df[,[0m…
[90m# … with 2 more variables: check_details$details [3m[90m<list>[90m[23m,[39m
[90m# $additional_issues [3m[90m<list>[90m[23m[39m
curl https://cranchecks.info/search?q=memory&one_each=true&fields=package | jq .
HTTP/1.1 200 OK
Access-Control-Allow-Methods: HEAD, GET
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 1192
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:50 GMT
{
"error": null,
"count": 57,
"returned": 10,
"data": [
{
"package": "allan",
"date_updated": "2020-10-31T15:03:22.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "antaresViz",
"date_updated": "2020-11-03T15:04:11.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "aws",
"date_updated": "2020-10-31T15:03:22.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "blockmodeling",
"date_updated": "2020-11-09T15:03:27.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "bssm",
"date_updated": "2020-10-31T15:03:22.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "clusternor",
"date_updated": "2020-11-21T15:03:28.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "cmfrec",
"date_updated": "2020-11-23T15:03:32.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "cooccurNet",
"date_updated": "2020-10-31T15:03:22.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "ctsemOMX",
"date_updated": "2020-10-31T15:03:22.000Z",
"summary": null,
"checks": null,
"check_details": null
},
{
"package": "cusum",
"date_updated": "2020-10-31T15:03:22.000Z",
"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 2020-10-31T15:03:22.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 2[39m antaresViz 2020-11-03T15:04:11.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 3[39m aws 2020-10-31T15:03:22.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 4[39m blockmodeling 2020-11-09T15:03:27.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 5[39m bssm 2020-10-31T15:03:22.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 6[39m clusternor 2020-11-21T15:03:28.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 7[39m cmfrec 2020-11-23T15:03:32.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 8[39m cooccurNet 2020-10-31T15:03:22.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m 9[39m ctsemOMX 2020-10-31T15:03:22.000Z [31mNA[39m [31mNA[39m [31mNA[39m
[90m10[39m cusum 2020-10-31T15:03:22.000Z [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/1.1 200 OK
Access-Control-Allow-Methods: POST
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 131
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:04 GMT
{
"error": null,
"data": [
{
"id": 442,
"already_existed": false,
"rule": "package:ropenaq, status:, flavor:, time:, regex:install failure"
}
]
}
curl -XPOST -H "Authorization: Bearer ***" \
--data '[{"package": "ropenaq", "regex": "install failure"}]' \
https://cranchecks.info/notifications/rules | jq .
HTTP/1.1 200 OK
Access-Control-Allow-Methods: POST
Access-Control-Allow-Origin: *
Cache-Control: public, must-revalidate, max-age=60
Content-Length: 130
Content-Type: application/json; charset=utf8
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:04 GMT
{
"error": null,
"data": [
{
"id": 442,
"already_existed": true,
"rule": "package:ropenaq, status:, flavor:, time:, regex:install failure"
}
]
}
# From anywhere
cchecks::cchn_rule_add(
email = "msmaellesalmon@gmail.com",
package = "ropenaq",
regex = "install failure",
quiet = TRUE
)
$error
NULL
$data
id already_existed
1 442 TRUE
rule
1 package:ropenaq, status:, flavor:, time:, regex:install failure
# Inside the ropenaq folder
cchecks::cchn_pkg_rule_add(regex = "install failure", quiet = TRUE)
$error
NULL
$data
id already_existed
1 442 TRUE
rule
1 package:ropenaq, status:, flavor:, time:, regex:install failure
# A second time
cchecks::cchn_pkg_rule_add(regex = "install failure", quiet = TRUE)
$error
NULL
$data
id already_existed
1 442 TRUE
rule
1 package:ropenaq, status:, flavor:, time:, regex:install failure
Notifications list
List your notifications rules
Functions of the cchecks R package: cchn_rule_list() and cchn_pkg_rule_list().
GET [/notifications/rules]
curl https://cranchecks.info/notifications/rules -H "Authorization: Bearer ***" | jq .
HTTP/1.1 200 OK
Content-Length: 143
Content-Type: text/html;charset=utf-8
Server: Caddy
X-Content-Type-Options: nosniff
X-Frame-Options: SAMEORIGIN
X-Xss-Protection: 1; mode=block
Date: Mon, 30 Nov 2020 12:49:05 GMT
{
"error": null,
"data": [
{
"id": 442,
"package": "ropenaq",
"rule_status": null,
"rule_time": null,
"rule_platforms": null,
"rule_regex": "install failure"
}
]
}
# From anywhere
cchecks::cchn_rule_list()
$error
NULL
$data
id package rule_status rule_time rule_platforms rule_regex
1 442 ropenaq NA NA NA install failure
# Inside the ropenaq folder
cchecks::cchn_pkg_rule_list()
$error
NULL
$data
id package rule_status rule_time rule_platforms rule_regex
1 442 ropenaq NA NA NA install failure
Notifications get
Get a notifications rule by ID
Functions of the cchecks R package: cchn_rule_get() and cchn_pkg_rule_get().
GET [/notifications/rules/{id}]
Sys.setenv("rule_id" = cchecks::cchn_rule_list()$data$id[1])
curl -H "Authorization: Bearer ***" \
https://cranchecks.info/notifications/rules/442 | jq .
HTTP/1.1 200 OK
Content-Length: 141
Content-Type: text/html;charset=utf-8
Server: Caddy
X-Content-Type-Options: nosniff
X-Frame-Options: SAMEORIGIN
X-Xss-Protection: 1; mode=block
Date: Mon, 30 Nov 2020 12:49:05 GMT
{
"error": null,
"data": {
"id": 442,
"package": "ropenaq",
"rule_status": null,
"rule_time": null,
"rule_platforms": null,
"rule_regex": "install failure"
}
}
# From anywhere
rule_id <- cchecks::cchn_rule_list()$data$id[1]
rule_id
[1] 442
cchecks::cchn_rule_get(rule_id)
$error
NULL
$data
$data$id
[1] 442
$data$package
[1] "ropenaq"
$data$rule_status
NULL
$data$rule_time
NULL
$data$rule_platforms
NULL
$data$rule_regex
[1] "install failure"
# Inside the ropenaq folder
rule_id <- cchecks::cchn_pkg_rule_list()$data$id[1]
rule_id
[1] 442
cchecks::cchn_pkg_rule_get(rule_id)
$error
NULL
$data
$data$id
[1] 442
$data$package
[1] "ropenaq"
$data$rule_status
NULL
$data$rule_time
NULL
$data$rule_platforms
NULL
$data$rule_regex
[1] "install failure"
Notifications delete
Delete a notifications rule by ID
Functions of the cchecks R package: cchn_rule_delete() and cchn_pkg_rule_delete().
DELETE [/notifications/rules/{id}]
Sys.setenv("rule_id" = tail(cchecks::cchn_rule_list()$data, n = 1))
Error in Sys.setenv(rule_id = tail(cchecks::cchn_rule_list()$data, n = 1)): wrong length for argument
curl -XDELETE -H "Authorization: Bearer ***" \
https://cranchecks.info/notifications/rules/442
HTTP/1.1 204 No Content
Access-Control-Allow-Methods: DELETE
Server: Caddy
X-Content-Type-Options: nosniff
Date: Mon, 30 Nov 2020 12:49:07 GMT
# From anywhere
rule_id <- tail(cchecks::cchn_rule_list()$data$id, n = 1)
rule_id
[1] 444
cchecks::cchn_rule_delete(rule_id)
# ok
# Inside the ropenaq folder
rule_id <- tail(cchecks::cchn_rule_list()$data$id, n = 1)
rule_id
[1] 443
cchecks::cchn_pkg_rule_delete(rule_id)
# ok