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This page was generated on 2024-05-15 13:46:27 -0400 (Wed, 15 May 2024).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 22.04.3 LTS)x86_644.4.0 RC (2024-04-16 r86468) -- "Puppy Cup" 4663
kunpeng2Linux (openEuler 22.03 LTS-SP1)aarch644.4.0 beta (2024-04-15 r86425) -- "Puppy Cup" 4480
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 153/2230HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
benchdamic 1.11.0  (landing page)
Matteo Calgaro
Snapshot Date: 2024-05-13 14:05:07 -0400 (Mon, 13 May 2024)
git_url: https://git.bioconductor.org/packages/benchdamic
git_branch: devel
git_last_commit: be905b6
git_last_commit_date: 2024-04-30 11:38:25 -0400 (Tue, 30 Apr 2024)
nebbiolo2Linux (Ubuntu 22.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
kunpeng2Linux (openEuler 22.03 LTS-SP1) / aarch64  OK    OK    ERROR  
kjohnson1macOS 13.6.6 Ventura / arm64see weekly results here

CHECK results for benchdamic on kunpeng2


To the developers/maintainers of the benchdamic package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/benchdamic.git to reflect on this report. See Troubleshooting Build Report for more information.
- 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.
- See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host.

raw results


Summary

Package: benchdamic
Version: 1.10.0
Command: /home/biocbuild/R/R-beta-2024-04-15_r86425/bin/R CMD check --install=check:benchdamic.install-out.txt --library=/home/biocbuild/R/R-beta-2024-04-15_r86425/site-library --no-vignettes --timings benchdamic_1.10.0.tar.gz
StartedAt: 2024-05-09 05:05:44 -0000 (Thu, 09 May 2024)
EndedAt: 2024-05-09 05:18:56 -0000 (Thu, 09 May 2024)
EllapsedTime: 792.5 seconds
RetCode: 1
Status:   ERROR  
CheckDir: benchdamic.Rcheck
Warnings: NA

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R-beta-2024-04-15_r86425/bin/R CMD check --install=check:benchdamic.install-out.txt --library=/home/biocbuild/R/R-beta-2024-04-15_r86425/site-library --no-vignettes --timings benchdamic_1.10.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.19-bioc/meat/benchdamic.Rcheck’
* using R version 4.4.0 beta (2024-04-15 r86425)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
    gcc (GCC) 10.3.1
    GNU Fortran (GCC) 10.3.1
* running under: openEuler 22.03 (LTS-SP1)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘benchdamic/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘benchdamic’ version ‘1.10.0’
* 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 ‘benchdamic’ 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 code 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 loading without being on the library search path ... 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 ... NOTE
checkRd: (-1) DA_Seurat.Rd:29-31: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:32: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:33-36: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:37: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:42-44: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:45-46: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:47-56: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:57-58: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:59-61: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:62-63: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:64-67: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:68-70: Lost braces in \itemize; meant \describe ?
checkRd: (-1) DA_Seurat.Rd:71-73: Lost braces in \itemize; meant \describe ?
checkRd: (-1) areaCAT.Rd:18: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:19-20: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:21: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:22: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:23: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:24-28: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:29-30: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) areaCAT.Rd:31-32: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createConcordance.Rd:30: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createConcordance.Rd:31-32: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createConcordance.Rd:33: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createConcordance.Rd:34: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createConcordance.Rd:35: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createConcordance.Rd:36-40: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createEnrichment.Rd:80-81: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createEnrichment.Rd:82: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createEnrichment.Rd:83-84: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createEnrichment.Rd:85-86: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createTIEC.Rd:17-19: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createTIEC.Rd:20-23: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createTIEC.Rd:24-27: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createTIEC.Rd:28-30: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) createTIEC.Rd:31-34: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) enrichmentTest.Rd:25-26: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) enrichmentTest.Rd:27: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) enrichmentTest.Rd:28-29: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) enrichmentTest.Rd:30-31: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) extractDA.Rd:62-63: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) extractDA.Rd:64-66: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) extractDA.Rd:67-70: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) getDA.Rd:58-59: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) getDA.Rd:60-62: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) getDA.Rd:63-66: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) get_counts_metadata.Rd:32-33: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) get_counts_metadata.Rd:34-35: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) get_counts_metadata.Rd:36-37: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) plotConcordance.Rd:21-23: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) plotConcordance.Rd:24-25: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) set_Seurat.Rd:26-28: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:29-30: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:31-40: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:41-42: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:43-45: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:46-47: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:48-51: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:52-54: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:55-57: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:64-66: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:67: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:68-71: Lost braces in \itemize; meant \describe ?
checkRd: (-1) set_Seurat.Rd:72: Lost braces in \itemize; meant \describe ?
* 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 LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... ERROR
Running examples in ‘benchdamic-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: plotConcordance
> ### Title: plotConcordance
> ### Aliases: plotConcordance
> 
> ### ** Examples
> 
> data(ps_plaque_16S)
> 
> # Balanced design
> my_splits <- createSplits(
+     object = ps_plaque_16S, varName = "HMP_BODY_SUBSITE", balanced = TRUE,
+     paired = "RSID", N = 10 # N = 100 suggested
+ )
Warning in createSplits(object = ps_plaque_16S, varName = "HMP_BODY_SUBSITE",  :
  The variable HMP_BODY_SUBSITE is not a factor. Coercing to factor.
Working on 30 paired samples. 2 repeated measures for each RSID ID.
> 
> # Make sure the subject ID variable is a factor
> phyloseq::sample_data(ps_plaque_16S)[, "RSID"] <- as.factor(
+     phyloseq::sample_data(ps_plaque_16S)[["RSID"]])
> 
> # Initialize some limma based methods
> my_limma <- set_limma(design = ~ RSID + HMP_BODY_SUBSITE, 
+     coef = "HMP_BODY_SUBSITESupragingival Plaque",
+     norm = c("TMM", "CSS"))
Warning in set_limma(design = ~RSID + HMP_BODY_SUBSITE, coef = "HMP_BODY_SUBSITESupragingival Plaque",  :
  DA_limma
One or more elements into 'norm' are not native to edgeR.
> 
> # Set the normalization methods according to the DA methods
> my_norm <- setNormalizations(fun = c("norm_edgeR", "norm_CSS"),
+     method = c("TMM", "CSS"))
> 
> # Run methods on split datasets
> results <- runSplits(split_list = my_splits, method_list = my_limma,
+     normalization_list = my_norm, object = ps_plaque_16S)
- Subset1

  - Comparison1

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison2

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison3

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison4

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison5

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison6

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison7

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison8

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison9

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison10

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
- Subset2

  - Comparison1

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison2

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison3

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison4

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison5

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison6

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison7

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison8

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison9

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
  - Comparison10

    Splitting the samples...
    Keeping taxa with more than 0 counts in more than 0 samples.
    Computing normalizations...
      + Running now:norm_edgeR

        Parameters:method=TMM

NF.TMM column has been added.
      + Running now:norm_CSS

        Parameters:method=CSS

Default value being used.
NF.CSS column has been added.
    Differential abundance:
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=CSS, weights=FALSE

Warning in DA_limma(object = new("phyloseq", otu_table = new("otu_table",  :
  DA_limma
CSS normalization is not a native edgeR normalization. Make sure you know what you are doing, otherwise choose between 'TMM', 'TMMwsp', 'RLE', 'upperquartile', 'posupperquartile', or 'none'.
Automatically converting NF.CSS scaling/size factors to normalization factors.
Differential abundance on CSS normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
      * Running now:DA_limma

        Parameters:assay_name=counts, pseudo_count=FALSE, design=~RSID + HMP_BODY_SUBSITE, coef=HMP_BODY_SUBSITESupragingival Plaque, norm=TMM, weights=FALSE

Differential abundance on TMM normalized data
Estimating Differential Abundance without weighting
Extracting results for HMP_BODY_SUBSITESupragingival Plaque coefficient
> 
> # Concordance for p-values
> concordance_pvalues <- createConcordance(
+     object = results, slot = "pValMat", colName = "rawP", type = "pvalue"
+ )
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’/home/biocbuild/R/R-beta-2024-04-15_r86425/bin/BATCH: line 60: 1271526 Killed                  ${R_HOME}/bin/R -f ${in} ${opts} ${R_BATCH_OPTIONS} > ${out} 2>&1

 ERROR
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(benchdamic)
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 2 ERRORs, 1 NOTE
See
  ‘/home/biocbuild/bbs-3.19-bioc/meat/benchdamic.Rcheck/00check.log’
for details.


Installation output

benchdamic.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/R/R-beta-2024-04-15_r86425/bin/R CMD INSTALL benchdamic
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/R/R-beta-2024-04-15_r86425/site-library’
* installing *source* package ‘benchdamic’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
Also defined by ‘spam’
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
Also defined by ‘spam’
** testing if installed package can be loaded from final location
Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
Also defined by ‘spam’
** testing if installed package keeps a record of temporary installation path
* DONE (benchdamic)

Tests output

benchdamic.Rcheck/tests/testthat.Rout.fail


R version 4.4.0 beta (2024-04-15 r86425) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu

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(benchdamic)

Example timings

benchdamic.Rcheck/benchdamic-Ex.timings

nameusersystemelapsed
CAT0.0060.0000.005
DA_ALDEx24.1210.1164.250
DA_ANCOM3.6320.0963.735
DA_DESeq23.7310.0643.802
DA_MAST1.8920.0321.930
DA_Maaslin20.3090.0200.336
DA_NOISeq1.8400.0231.867
DA_Seurat2.6680.0632.736
DA_ZicoSeq1.0420.0041.048
DA_basic0.0410.0000.040
DA_corncob1.3070.0201.361
DA_dearseq0.0730.0040.079
DA_edgeR0.2400.0080.248
DA_limma0.0950.0000.095
DA_linda0.0670.0000.068
DA_metagenomeSeq0.3290.0200.349
DA_mixMC0.4550.0120.464
RMSE0.0010.0000.001
addKnowledge0.2110.0080.219
areaCAT5.8840.3747.946
checkNormalization000
createColors0.0040.0030.008
createConcordance6.8190.4238.060
createEnrichment0.3430.0160.359
createMocks0.0030.0000.003
createPositives1.2450.0761.324
createSplits0.0350.0040.038
createTIEC3.7810.0474.973
enrichmentTest0.1620.0120.350
extractDA0.2650.0000.490
extractStatistics0.2610.0000.262
fitDM0.0480.0000.048
fitHURDLE1.1840.0241.663
fitModels3.8860.1205.979
fitNB0.0670.0040.072
fitZIG0.0770.0000.077
fitZINB0.7050.0201.089
getDA0.1020.0040.108
getPositives0.1100.0000.111
getStatistics0.0940.0000.095
get_counts_metadata0.2420.0000.243
iterative_ordering0.0130.0000.013
meanDifferences0.0020.0000.002
norm_CSS0.0930.0000.093
norm_DESeq20.5960.0000.598
norm_TSS0.0450.0000.044
norm_edgeR0.0510.0000.051