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This page was generated on 2023-05-26 06:18:17 -0000 (Fri, 26 May 2023).

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BUILD results for tRanslatome on kunpeng2


To the developers/maintainers of the tRanslatome package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/tRanslatome.git to reflect on this report. See Troubleshooting Build Report for more information.

- Use the following Renviron settings to reproduce errors and warnings.

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raw results

Package 2097/2197HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
tRanslatome 1.39.0  (landing page)
Toma Tebaldi , Erik Dassi
Snapshot Date: 2023-05-25 13:29:39 -0000 (Thu, 25 May 2023)
git_url: https://git.bioconductor.org/packages/tRanslatome
git_branch: devel
git_last_commit: 9b69ddf
git_last_commit_date: 2023-04-25 14:27:15 -0000 (Tue, 25 Apr 2023)
kunpeng2Linux (openEuler 22.03 LTS-SP1) / aarch64  OK    ERROR  skipped

Summary

Package: tRanslatome
Version: 1.39.0
Command: /home/biocbuild/R/R-4.3.0/bin/R CMD build --keep-empty-dirs --no-resave-data tRanslatome
StartedAt: 2023-05-26 02:33:13 -0000 (Fri, 26 May 2023)
EndedAt: 2023-05-26 02:35:00 -0000 (Fri, 26 May 2023)
EllapsedTime: 107.2 seconds
RetCode: 1
Status:   ERROR  
PackageFile: None
PackageFileSize: NA

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R-4.3.0/bin/R CMD build --keep-empty-dirs --no-resave-data tRanslatome
###
##############################################################################
##############################################################################


* checking for file ‘tRanslatome/DESCRIPTION’ ... OK
* preparing ‘tRanslatome’:
* checking DESCRIPTION meta-information ... OK
* installing the package to build vignettes
* creating vignettes ... ERROR
--- re-building ‘tRanslatome_package.Rnw’ using Sweave
Loading required package: limma
Loading required package: anota
Loading required package: qvalue
Loading required package: DESeq2
Loading required package: S4Vectors
Loading required package: stats4
Loading required package: BiocGenerics

Attaching package: ‘BiocGenerics’

The following object is masked from ‘package:limma’:

    plotMA

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


Attaching package: ‘S4Vectors’

The following object is masked from ‘package:utils’:

    findMatches

The following objects are masked from ‘package:base’:

    I, expand.grid, unname

Loading required package: IRanges
Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: SummarizedExperiment
Loading required package: MatrixGenerics
Loading required package: matrixStats

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

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")'.


Attaching package: ‘Biobase’

The following object is masked from ‘package:MatrixGenerics’:

    rowMedians

The following objects are masked from ‘package:matrixStats’:

    anyMissing, rowMedians

Loading required package: edgeR
Loading required package: RankProd
Loading required package: Rmpfr
Loading required package: gmp

Attaching package: ‘gmp’

The following objects are masked from ‘package:base’:

    %*%, apply, crossprod, matrix, tcrossprod

C code of R package 'Rmpfr': GMP using 64 bits per limb


Attaching package: ‘Rmpfr’

The following object is masked from ‘package:gmp’:

    outer

The following objects are masked from ‘package:SummarizedExperiment’:

    cbind, rbind

The following objects are masked from ‘package:IRanges’:

    cbind, pmax, pmin, rbind

The following objects are masked from ‘package:S4Vectors’:

    cbind, rbind

The following objects are masked from ‘package:BiocGenerics’:

    cbind, pmax, pmin, rbind

The following objects are masked from ‘package:stats’:

    dbinom, dgamma, dnbinom, dnorm, dpois, dt, pnorm

The following objects are masked from ‘package:base’:

    cbind, pmax, pmin, rbind

Loading required package: topGO
Loading required package: graph
Loading required package: GO.db
Loading required package: AnnotationDbi

Loading required package: SparseM

Attaching package: ‘SparseM’

The following object is masked from ‘package:base’:

    backsolve


groupGOTerms: 	GOBPTerm, GOMFTerm, GOCCTerm environments built.

Attaching package: ‘topGO’

The following object is masked from ‘package:IRanges’:

    members

Loading required package: org.Hs.eg.db

Loading required package: GOSemSim
GOSemSim v2.27.0  For help: https://yulab-smu.top/biomedical-knowledge-mining-book/

If you use GOSemSim in published research, please cite:
- Guangchuang Yu. Gene Ontology Semantic Similarity Analysis Using GOSemSim. In: Kidder B. (eds) Stem Cell Transcriptional Networks. Methods in Molecular Biology, 2020, 2117:207-215. Humana, New York, NY. doi:10.1007/978-1-0716-0301-7_11
- Guangchuang Yu, Fei Li, Yide Qin, Xiaochen Bo, Yibo Wu, Shengqi Wang. GOSemSim: an R package for measuring semantic similarity among GO terms and gene products Bioinformatics 2010, 26(7):976-978. doi:10.1093/bioinformatics/btq064


Loading required package: Heatplus
Loading required package: gplots

Attaching package: ‘gplots’

The following object is masked from ‘package:IRanges’:

    space

The following object is masked from ‘package:S4Vectors’:

    space

The following object is masked from ‘package:stats’:

    lowess

Loading required package: plotrix

Attaching package: ‘plotrix’

The following object is masked from ‘package:gplots’:

    plotCI


Building most specific GOs .....
	( 1788 GO terms found. )

Build GO DAG topology ..........
	( 1958 GO terms and 3225 relations. )

Annotating nodes ...............
	( 19518 genes annotated to the GO terms. )

			 -- Elim Algorithm -- 

		 the algorithm is scoring 175 nontrivial nodes
		 parameters: 
			 test statistic: fisher
			 cutOff: 0.01

	 Level 11:	3 nodes to be scored	(0 eliminated genes)

	 Level 10:	7 nodes to be scored	(0 eliminated genes)

	 Level 9:	13 nodes to be scored	(0 eliminated genes)

	 Level 8:	21 nodes to be scored	(23 eliminated genes)

	 Level 7:	30 nodes to be scored	(28 eliminated genes)

	 Level 6:	33 nodes to be scored	(3045 eliminated genes)

	 Level 5:	25 nodes to be scored	(3334 eliminated genes)

	 Level 4:	20 nodes to be scored	(3360 eliminated genes)

	 Level 3:	20 nodes to be scored	(12743 eliminated genes)

	 Level 2:	2 nodes to be scored	(12743 eliminated genes)

	 Level 1:	1 nodes to be scored	(12743 eliminated genes)

Building most specific GOs .....
	( 1788 GO terms found. )

Build GO DAG topology ..........
	( 1958 GO terms and 3225 relations. )

Annotating nodes ...............
	( 19518 genes annotated to the GO terms. )

			 -- Elim Algorithm -- 

		 the algorithm is scoring 180 nontrivial nodes
		 parameters: 
			 test statistic: fisher
			 cutOff: 0.01

	 Level 12:	1 nodes to be scored	(0 eliminated genes)

	 Level 11:	6 nodes to be scored	(0 eliminated genes)

	 Level 10:	11 nodes to be scored	(62 eliminated genes)

	 Level 9:	12 nodes to be scored	(62 eliminated genes)

	 Level 8:	24 nodes to be scored	(482 eliminated genes)

	 Level 7:	28 nodes to be scored	(537 eliminated genes)

	 Level 6:	29 nodes to be scored	(3055 eliminated genes)

	 Level 5:	24 nodes to be scored	(3296 eliminated genes)

	 Level 4:	22 nodes to be scored	(7505 eliminated genes)

	 Level 3:	20 nodes to be scored	(7505 eliminated genes)

	 Level 2:	2 nodes to be scored	(7505 eliminated genes)

	 Level 1:	1 nodes to be scored	(7505 eliminated genes)
preparing gene to GO mapping data...
preparing IC data...
preparing gene to GO mapping data...
preparing IC data...
Error: processing vignette 'tRanslatome_package.Rnw' failed with diagnostics:
unable to run pdflatex on 'tRanslatome_package.tex'
LaTeX errors:
! LaTeX Error: File `isorot.sty' not found.

Type X to quit or <RETURN> to proceed,
or enter new name. (Default extension: sty)

! Emergency stop.
<read *> 
         
l.10 \usepackage
                {epsfig}^^M
!  ==> Fatal error occurred, no output PDF file produced!
--- failed re-building ‘tRanslatome_package.Rnw’

SUMMARY: processing the following file failed:
  ‘tRanslatome_package.Rnw’

Error: Vignette re-building failed.
Execution halted