CRAN Package Check Results for Package RCPA

Last updated on 2023-05-25 08:56:10 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.0 53.41 504.83 558.24 OK
r-devel-linux-x86_64-debian-gcc 0.1.0 40.65 381.88 422.53 OK
r-devel-linux-x86_64-fedora-clang 0.1.0 754.05 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.0 726.81 ERROR
r-devel-windows-x86_64 0.1.0 44.00 345.00 389.00 OK
r-patched-linux-x86_64 0.1.0 40.07 474.78 514.85 OK
r-release-linux-x86_64 0.1.0 33.91 469.38 503.29 OK
r-release-macos-arm64 0.1.0 5.00 ERROR
r-release-windows-x86_64 0.1.0 61.00 473.00 534.00 OK
r-oldrel-macos-arm64 0.1.0 6.00 ERROR
r-oldrel-macos-x86_64 0.1.0 249.00 ERROR
r-oldrel-windows-x86_64 0.1.0 58.00 461.00 519.00 OK

Additional issues

noSuggests

Check Details

Version: 0.1.0
Check: package dependencies
Result: NOTE
    Packages suggested but not available for checking: 'RCyjs', 'BrowserViz'
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-x86_64

Version: 0.1.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [92s/303s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > # This file is part of the standard setup for testthat.
     > # It is recommended that you do not modify it.
     > #
     > # Where should you do additional test configuration?
     > # Learn more about the roles of various files in:
     > # * https://r-pkgs.org/tests.html
     > # * https://testthat.r-lib.org/reference/test_package.html#special-files
     >
     > library(testthat)
     > library(RCPA)
     Loading required package: tidyr
    
     Attaching package: 'tidyr'
    
     The following object is masked from 'package:testthat':
    
     matches
    
     Loading required package: dplyr
    
     Attaching package: 'dplyr'
    
     The following object is masked from 'package:testthat':
    
     matches
    
     The following objects are masked from 'package:stats':
    
     filter, lag
    
     The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
     Loading required package: ggplot2
     Setting options('download.file.method.GEOquery'='auto')
     Setting options('GEOquery.inmemory.gpl'=FALSE)
     >
     > test_check("RCPA")
    
     Attaching package: 'limma'
    
     The following object is masked from 'package:RCPA':
    
     plotMA
    
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     Loading required package: AnnotationDbi
     Loading required package: stats4
     Loading required package: BiocGenerics
    
     Attaching package: 'BiocGenerics'
    
     The following object is masked from 'package:limma':
    
     plotMA
    
     The following object is masked from 'package:RCPA':
    
     plotMA
    
     The following objects are masked from 'package:dplyr':
    
     combine, intersect, setdiff, union
    
     The following objects are masked from 'package:stats':
    
     IQR, mad, sd, var, xtabs
    
     The following objects are masked from 'package:base':
    
     Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
     as.data.frame, basename, cbind, colnames, dirname, do.call,
     duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
     pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
     tapply, union, unique, unsplit, which.max, which.min
    
     Loading required package: Biobase
     Welcome to Bioconductor
    
     Vignettes contain introductory material; view with
     'browseVignettes()'. To cite Bioconductor, see
     'citation("Biobase")', and for packages 'citation("pkgname")'.
    
     Loading required package: IRanges
     Loading required package: S4Vectors
    
     Attaching package: 'S4Vectors'
    
     The following objects are masked from 'package:dplyr':
    
     first, rename
    
     The following object is masked from 'package:tidyr':
    
     expand
    
     The following object is masked from 'package:utils':
    
     findMatches
    
     The following objects are masked from 'package:base':
    
     I, expand.grid, unname
    
    
     Attaching package: 'IRanges'
    
     The following objects are masked from 'package:dplyr':
    
     collapse, desc, slice
    
    
     Attaching package: 'AnnotationDbi'
    
     The following object is masked from 'package:dplyr':
    
     select
    
     Loading required package: org.Hs.eg.db
    
    
     Loading required package: MatrixGenerics
     Loading required package: matrixStats
    
     Attaching package: 'matrixStats'
    
     The following objects are masked from 'package:Biobase':
    
     anyMissing, rowMedians
    
     The following object is masked from 'package:dplyr':
    
     count
    
    
     Attaching package: 'MatrixGenerics'
    
     The following objects are masked from 'package:matrixStats':
    
     colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
     colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
     colWeightedMeans, colWeightedMedians, colWeightedSds,
     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
     rowWeightedSds, rowWeightedVars
    
     The following object is masked from 'package:Biobase':
    
     rowMedians
    
     Loading required package: GenomicRanges
     Loading required package: GenomeInfoDb
     Loading 'meta' package (version 6.2-1).
     Type 'help(meta)' for a brief overview.
     Readers of 'Meta-Analysis with R (Use R!)' should install
     older version of 'meta' package: https://tinyurl.com/dt4y5drs
     [ FAIL 1 | WARN 4 | SKIP 71 | PASS 122 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (71)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-plot-pathway-network.R:2:1'): (code run outside of `test_that()`) ──
     <packageNotFoundError/error/condition>
     Error in `library(RCyjs)`: there is no package called 'RCyjs'
     Backtrace:
     ▆
     1. └─base::library(RCyjs) at test-plot-pathway-network.R:2:0
    
     [ FAIL 1 | WARN 4 | SKIP 71 | PASS 122 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [90s/447s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > # This file is part of the standard setup for testthat.
     > # It is recommended that you do not modify it.
     > #
     > # Where should you do additional test configuration?
     > # Learn more about the roles of various files in:
     > # * https://r-pkgs.org/tests.html
     > # * https://testthat.r-lib.org/reference/test_package.html#special-files
     >
     > library(testthat)
     > library(RCPA)
     Loading required package: tidyr
    
     Attaching package: 'tidyr'
    
     The following object is masked from 'package:testthat':
    
     matches
    
     Loading required package: dplyr
    
     Attaching package: 'dplyr'
    
     The following object is masked from 'package:testthat':
    
     matches
    
     The following objects are masked from 'package:stats':
    
     filter, lag
    
     The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
     Loading required package: ggplot2
     Setting options('download.file.method.GEOquery'='auto')
     Setting options('GEOquery.inmemory.gpl'=FALSE)
     >
     > test_check("RCPA")
    
     Attaching package: 'limma'
    
     The following object is masked from 'package:RCPA':
    
     plotMA
    
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     converting counts to integer mode
     using supplied model matrix
     estimating size factors
     estimating dispersions
     gene-wise dispersion estimates
     mean-dispersion relationship
     -- note: fitType='parametric', but the dispersion trend was not well captured by the
     function: y = a/x + b, and a local regression fit was automatically substituted.
     specify fitType='local' or 'mean' to avoid this message next time.
     final dispersion estimates
     fitting model and testing
     Loading required package: AnnotationDbi
     Loading required package: stats4
     Loading required package: BiocGenerics
    
     Attaching package: 'BiocGenerics'
    
     The following object is masked from 'package:limma':
    
     plotMA
    
     The following object is masked from 'package:RCPA':
    
     plotMA
    
     The following objects are masked from 'package:dplyr':
    
     combine, intersect, setdiff, union
    
     The following objects are masked from 'package:stats':
    
     IQR, mad, sd, var, xtabs
    
     The following objects are masked from 'package:base':
    
     Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
     as.data.frame, basename, cbind, colnames, dirname, do.call,
     duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
     lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
     pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
     tapply, union, unique, unsplit, which.max, which.min
    
     Loading required package: Biobase
     Welcome to Bioconductor
    
     Vignettes contain introductory material; view with
     'browseVignettes()'. To cite Bioconductor, see
     'citation("Biobase")', and for packages 'citation("pkgname")'.
    
     Loading required package: IRanges
     Loading required package: S4Vectors
    
     Attaching package: 'S4Vectors'
    
     The following objects are masked from 'package:dplyr':
    
     first, rename
    
     The following object is masked from 'package:tidyr':
    
     expand
    
     The following object is masked from 'package:utils':
    
     findMatches
    
     The following objects are masked from 'package:base':
    
     I, expand.grid, unname
    
    
     Attaching package: 'IRanges'
    
     The following objects are masked from 'package:dplyr':
    
     collapse, desc, slice
    
    
     Attaching package: 'AnnotationDbi'
    
     The following object is masked from 'package:dplyr':
    
     select
    
     Loading required package: org.Hs.eg.db
    
    
     Loading required package: MatrixGenerics
     Loading required package: matrixStats
    
     Attaching package: 'matrixStats'
    
     The following objects are masked from 'package:Biobase':
    
     anyMissing, rowMedians
    
     The following object is masked from 'package:dplyr':
    
     count
    
    
     Attaching package: 'MatrixGenerics'
    
     The following objects are masked from 'package:matrixStats':
    
     colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
     colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
     colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
     colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
     colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
     colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
     colWeightedMeans, colWeightedMedians, colWeightedSds,
     colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
     rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
     rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
     rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
     rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
     rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
     rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
     rowWeightedSds, rowWeightedVars
    
     The following object is masked from 'package:Biobase':
    
     rowMedians
    
     Loading required package: GenomicRanges
     Loading required package: GenomeInfoDb
     Loading 'meta' package (version 6.2-1).
     Type 'help(meta)' for a brief overview.
     Readers of 'Meta-Analysis with R (Use R!)' should install
     older version of 'meta' package: https://tinyurl.com/dt4y5drs
     [ FAIL 1 | WARN 4 | SKIP 71 | PASS 122 ]
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (71)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-plot-pathway-network.R:2:1'): (code run outside of `test_that()`) ──
     <packageNotFoundError/error/condition>
     Error in `library(RCyjs)`: there is no package called 'RCyjs'
     Backtrace:
     ▆
     1. └─base::library(RCyjs) at test-plot-pathway-network.R:2:0
    
     [ FAIL 1 | WARN 4 | SKIP 71 | PASS 122 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.1.0
Check: package dependencies
Result: ERROR
    Package required but not available: ‘oligo’
    
    Packages suggested but not available for checking:
     'ROntoTools', 'RCyjs', 'BrowserViz', 'hgu133plus2.db'
    
    See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
    manual.
Flavor: r-release-macos-arm64

Version: 0.1.0
Check: package dependencies
Result: ERROR
    Package required but not available: ‘oligo’
    
    Packages suggested but not available for checking:
     'ROntoTools', 'RCyjs', 'BrowserViz'
    
    See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
    manual.
Flavor: r-oldrel-macos-arm64

Version: 0.1.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [28s/39s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
    
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     • On CRAN (71)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error ('test-plot-pathway-network.R:2:1'): (code run outside of `test_that()`) ──
     <packageNotFoundError/error/condition>
     Error in `library(RCyjs)`: there is no package called 'RCyjs'
     Backtrace:
     ▆
     1. └─base::library(RCyjs) at test-plot-pathway-network.R:2:0
    
     [ FAIL 1 | WARN 4 | SKIP 71 | PASS 122 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-macos-x86_64