Back to Mac ARM64 build report for BioC 3.17 |
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This page was generated on 2023-10-20 09:38:05 -0400 (Fri, 20 Oct 2023).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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kjohnson2 | macOS 12.6.1 Monterey | arm64 | 4.3.1 (2023-06-16) -- "Beagle Scouts" | 4347 |
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 |
Package 1136/2230 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
MBECS 1.4.0 (landing page) Michael Olbrich
| kjohnson2 | macOS 12.6.1 Monterey / arm64 | OK | OK | OK | OK | ||||||||
To the developers/maintainers of the MBECS package: - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. |
Package: MBECS |
Version: 1.4.0 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:MBECS.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings MBECS_1.4.0.tar.gz |
StartedAt: 2023-10-18 05:07:25 -0400 (Wed, 18 Oct 2023) |
EndedAt: 2023-10-18 05:14:52 -0400 (Wed, 18 Oct 2023) |
EllapsedTime: 447.6 seconds |
RetCode: 0 |
Status: OK |
CheckDir: MBECS.Rcheck |
Warnings: 0 |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:MBECS.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings MBECS_1.4.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.17-bioc-mac-arm64/meat/MBECS.Rcheck’ * using R version 4.3.1 (2023-06-16) * using platform: aarch64-apple-darwin20 (64-bit) * R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0 * running under: macOS Monterey 12.6.7 * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘MBECS/DESCRIPTION’ ... OK * this is package ‘MBECS’ version ‘1.4.0’ * 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 mbecModelVariance 7.644 0.100 11.381 mbecVarianceStatsPlot 7.151 0.094 10.944 mbecCorrection 6.298 0.217 10.023 mbecReportPost 4.321 0.082 6.370 * 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
MBECS.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL MBECS ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/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)
MBECS.Rcheck/tests/testthat.Rout
R version 4.3.1 (2023-06-16) -- "Beagle Scouts" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: aarch64-apple-darwin20 (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' 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. 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 101 | SKIP 0 | PASS 282 ] [ FAIL 0 | WARN 101 | SKIP 0 | PASS 282 ] > > proc.time() user system elapsed 79.840 1.931 124.585
MBECS.Rcheck/MBECS-Ex.timings
name | user | system | elapsed | |
MbecData | 0.111 | 0.007 | 0.184 | |
colinScore | 0.389 | 0.027 | 0.641 | |
dot-mbecGetData | 0.036 | 0.003 | 0.059 | |
dot-mbecGetPhyloseq | 0.043 | 0.002 | 0.071 | |
dot-mbecSetData | 0.047 | 0.003 | 0.076 | |
dummy.list | 0.005 | 0.001 | 0.012 | |
dummy.mbec | 0.026 | 0.002 | 0.046 | |
dummy.ps | 0.005 | 0.001 | 0.011 | |
mbecBox | 2.587 | 0.044 | 4.039 | |
mbecBoxPlot | 2.287 | 0.025 | 3.553 | |
mbecCorrection | 6.298 | 0.217 | 10.023 | |
mbecDummy | 0.138 | 0.018 | 0.237 | |
mbecGetData-MbecData-method | 0.034 | 0.004 | 0.057 | |
mbecGetData | 0.033 | 0.004 | 0.055 | |
mbecGetPhyloseq-MbecData-method | 0.054 | 0.005 | 0.090 | |
mbecGetPhyloseq | 0.098 | 0.006 | 0.162 | |
mbecHeat | 0.173 | 0.008 | 0.280 | |
mbecHeatPlot | 0.147 | 0.008 | 0.239 | |
mbecHelpFactor | 0.006 | 0.002 | 0.008 | |
mbecLM | 1.080 | 0.036 | 1.706 | |
mbecMixedVariance | 0.045 | 0.003 | 0.077 | |
mbecModelVariance | 7.644 | 0.100 | 11.381 | |
mbecMosaic | 1.015 | 0.015 | 1.585 | |
mbecMosaicPlot | 0.894 | 0.013 | 1.334 | |
mbecPCA-MbecData-method | 0.997 | 0.017 | 1.548 | |
mbecPCA | 1.050 | 0.020 | 1.587 | |
mbecPCAPlot | 0.923 | 0.017 | 1.434 | |
mbecPVCAStatsPlot | 1.261 | 0.022 | 1.934 | |
mbecProcessInput-MbecData-method | 0.029 | 0.003 | 0.040 | |
mbecProcessInput-list-method | 0.029 | 0.003 | 0.041 | |
mbecProcessInput-phyloseq-method | 0.039 | 0.002 | 0.058 | |
mbecProcessInput | 0.028 | 0.003 | 0.048 | |
mbecRDAStatsPlot | 0.121 | 0.005 | 0.195 | |
mbecRLE | 0.249 | 0.008 | 0.388 | |
mbecRLEPlot | 0.197 | 0.006 | 0.300 | |
mbecReportPost | 4.321 | 0.082 | 6.370 | |
mbecReportPrelim | 2.232 | 0.034 | 2.903 | |
mbecRunCorrections | 2.200 | 0.046 | 2.855 | |
mbecSCOEFStatsPlot | 0.071 | 0.003 | 0.097 | |
mbecSetData-MbecData-method | 0.049 | 0.004 | 0.067 | |
mbecSetData | 0.047 | 0.004 | 0.064 | |
mbecTestModel | 0.034 | 0.003 | 0.047 | |
mbecTransform | 0.232 | 0.009 | 0.311 | |
mbecValidateModel | 0.036 | 0.003 | 0.051 | |
mbecVarianceStats | 0.018 | 0.002 | 0.023 | |
mbecVarianceStatsPlot | 7.151 | 0.094 | 10.944 | |
percentileNorm | 2.029 | 0.030 | 3.170 | |
poscore | 0.000 | 0.001 | 0.000 | |