Back to Multiple platform build/check report for BioC 3.15
ABCDEFGHIJKL[M]NOPQRSTUVWXYZ

This page was generated on 2022-10-19 13:20:29 -0400 (Wed, 19 Oct 2022).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo1Linux (Ubuntu 20.04.5 LTS)x86_644.2.1 (2022-06-23) -- "Funny-Looking Kid" 4386
palomino3Windows Server 2022 Datacenterx644.2.1 (2022-06-23 ucrt) -- "Funny-Looking Kid" 4138
merida1macOS 10.14.6 Mojavex86_644.2.1 (2022-06-23) -- "Funny-Looking Kid" 4205
Click on any hostname to see more info about the system (e.g. compilers)      (*) as reported by 'uname -p', except on Windows and Mac OS X

CHECK results for MBECS on nebbiolo1


To the developers/maintainers of the MBECS package:
- Please allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/MBECS.git to
reflect on this report. See How and When does the builder pull? When will my changes propagate? for more information.
- Make sure to use the following settings in order to reproduce any error or warning you see on this page.

raw results

Package 1091/2140HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
MBECS 1.0.0  (landing page)
Michael Olbrich
Snapshot Date: 2022-10-18 13:55:19 -0400 (Tue, 18 Oct 2022)
git_url: https://git.bioconductor.org/packages/MBECS
git_branch: RELEASE_3_15
git_last_commit: 748a3fb
git_last_commit_date: 2022-04-26 12:21:40 -0400 (Tue, 26 Apr 2022)
nebbiolo1Linux (Ubuntu 20.04.5 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino3Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 10.14.6 Mojave / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published

Summary

Package: MBECS
Version: 1.0.0
Command: /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD check --install=check:MBECS.install-out.txt --library=/home/biocbuild/bbs-3.15-bioc/R/library --no-vignettes --timings MBECS_1.0.0.tar.gz
StartedAt: 2022-10-18 20:25:17 -0400 (Tue, 18 Oct 2022)
EndedAt: 2022-10-18 20:29:46 -0400 (Tue, 18 Oct 2022)
EllapsedTime: 268.7 seconds
RetCode: 0
Status:   OK  
CheckDir: MBECS.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD check --install=check:MBECS.install-out.txt --library=/home/biocbuild/bbs-3.15-bioc/R/library --no-vignettes --timings MBECS_1.0.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.15-bioc/meat/MBECS.Rcheck’
* using R version 4.2.1 (2022-06-23)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘MBECS/DESCRIPTION’ ... OK
* this is package ‘MBECS’ version ‘1.0.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘MBECS’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                        user system elapsed
mbecReportPost        47.187  0.536  47.724
mbecModelVariance      5.961  0.087   6.049
mbecVarianceStatsPlot  5.317  0.027   5.344
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: OK


Installation output

MBECS.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.15-bioc/R/bin/R CMD INSTALL MBECS
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.15-bioc/R/library’
* installing *source* package ‘MBECS’ ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (MBECS)

Tests output

MBECS.Rcheck/tests/testthat.Rout


R version 4.2.1 (2022-06-23) -- "Funny-Looking Kid"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(MBECS)
> 
> test_check("MBECS")
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
No negative control features provided.
                Using pseudo-negative controls.
Applying Remove Unwanted Variantion v3 (RUV-III).
No 'sID' column present, creating from rownames now.
No 'sID' column present, creating from rownames now.
Set tss-transformed counts.
No 'sID' column present, creating from rownames now.
Set tss-transformed counts.
Construct lm-formula from covariates.
Construct lm-formula from covariates.
There is a problem with the estimatibility of your model.
            Check out covariate: 'sIDS40'
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Calculating RLE for group: A
Calculating RLE for group: B
Fitting linear model to every feature and extract proportion of
          variance explained by covariates.
Construct formula from covariates.

  |                                                                                      
  |                                                                                |   0%
  |                                                                                      
  |====                                                                            |   5%
  |                                                                                      
  |========                                                                        |  10%
  |                                                                                      
  |============                                                                    |  15%
  |                                                                                      
  |================                                                                |  20%
  |                                                                                      
  |====================                                                            |  25%
  |                                                                                      
  |========================                                                        |  30%
  |                                                                                      
  |============================                                                    |  35%
  |                                                                                      
  |================================                                                |  40%
  |                                                                                      
  |====================================                                            |  45%
  |                                                                                      
  |========================================                                        |  50%
  |                                                                                      
  |============================================                                    |  55%
  |                                                                                      
  |================================================                                |  60%
  |                                                                                      
  |====================================================                            |  65%
  |                                                                                      
  |========================================================                        |  70%
  |                                                                                      
  |============================================================                    |  75%
  |                                                                                      
  |================================================================                |  80%
  |                                                                                      
  |====================================================================            |  85%
  |                                                                                      
  |========================================================================        |  90%
  |                                                                                      
  |============================================================================    |  95%
  |                                                                                      
  |================================================================================| 100%
Fitting linear-mixed model to every feature and extract proportion
            of variance explained by covariates.
Construct formula from covariates.

  |                                                                                      
  |                                                                                |   0%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |====                                                                            |   5%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |========                                                                        |  10%
  |                                                                                      
  |============                                                                    |  15%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |================                                                                |  20%
  |                                                                                      
  |====================                                                            |  25%
  |                                                                                      
  |========================                                                        |  30%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |============================                                                    |  35%
  |                                                                                      
  |================================                                                |  40%
  |                                                                                      
  |====================================                                            |  45%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |========================================                                        |  50%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |============================================                                    |  55%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |================================================                                |  60%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |====================================================                            |  65%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |========================================================                        |  70%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |============================================================                    |  75%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |================================================================                |  80%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |====================================================================            |  85%
  |                                                                                      
  |========================================================================        |  90%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |============================================================================    |  95%boundary (singular) fit: see help('isSingular')

  |                                                                                      
  |================================================================================| 100%

  |                                                                                      
  |                                                                                |   0%
  |                                                                                      
  |========================================                                        |  50%
  |                                                                                      
  |================================================================================| 100%
boundary (singular) fit: see help('isSingular')
boundary (singular) fit: see help('isSingular')
boundary (singular) fit: see help('isSingular')
boundary (singular) fit: see help('isSingular')
boundary (singular) fit: see help('isSingular')
boundary (singular) fit: see help('isSingular')
[1] "batch"
[1] "group"
Set tss-transformed counts.
Found zeros, function will add a small pseudo-count
                (1/#features) for log-ratio transformation.
Applying ComBat (sva) for batch-correction.
Found2batches
Adjusting for1covariate(s) or covariate level(s)
Standardizing Data across genes
Fitting L/S model and finding priors
Finding nonparametric adjustments
Adjusting the Data

[ FAIL 0 | WARN 0 | SKIP 0 | PASS 265 ]
> 
> proc.time()
   user  system elapsed 
 55.336   1.883  57.227 

Example timings

MBECS.Rcheck/MBECS-Ex.timings

nameusersystemelapsed
MbecData0.1050.0000.105
colinScore0.7510.0080.759
dot-mbecGetData0.0310.0020.032
dot-mbecGetPhyloseq0.0400.0010.041
dot-mbecSetData0.0440.0000.045
dummy.list0.0050.0000.006
dummy.mbec0.0240.0000.024
dummy.ps0.0040.0000.004
mbecBox1.6590.0561.715
mbecBoxPlot1.5290.0081.537
mbecCorrection4.5500.2044.769
mbecDummy0.0800.0280.108
mbecGetData-MbecData-method0.030.000.03
mbecGetData0.1290.0000.129
mbecGetPhyloseq-MbecData-method0.0390.0030.044
mbecGetPhyloseq0.0390.0000.039
mbecHeat0.1410.0040.145
mbecHeatPlot0.1210.0000.121
mbecLM0.7710.0430.815
mbecMixedVariance0.0390.0010.039
mbecModelVariance5.9610.0876.049
mbecMosaic0.7020.0010.702
mbecMosaicPlot0.6470.0070.655
mbecPCA-MbecData-method0.7380.0160.754
mbecPCA0.7360.0040.740
mbecPCAPlot0.6160.0000.616
mbecPVCAStatsPlot0.8950.0400.935
mbecProcessInput-MbecData-method0.0240.0020.025
mbecProcessInput-list-method0.0240.0020.026
mbecProcessInput-phyloseq-method0.0310.0000.031
mbecProcessInput0.0260.0000.026
mbecRDAStatsPlot0.0870.0070.095
mbecRLE0.2270.0120.239
mbecRLEPlot0.1160.0000.116
mbecReportPost47.187 0.53647.724
mbecReportPrelim1.6110.0121.623
mbecRunCorrections1.5840.0161.599
mbecSCOEFStatsPlot0.0500.0040.053
mbecSetData-MbecData-method0.0410.0000.041
mbecSetData0.0420.0000.042
mbecTestModel0.0320.0000.031
mbecTransform0.1590.0000.159
mbecValidateModel0.0300.0000.029
mbecVarianceStats0.0120.0040.015
mbecVarianceStatsPlot5.3170.0275.344
percentileNorm1.3880.0041.391
poscore0.0000.0000.001