Matteo Calgaro
| Snapshot Date: 2026-04-19 13:40 -0400 (Sun, 19 Apr 2026) |
| git_url: https://git.bioconductor.org/packages/benchdamic |
| git_branch: devel |
| git_last_commit: 316209e |
| git_last_commit_date: 2025-10-29 11:13:17 -0400 (Wed, 29 Oct 2025) |
| Back to Multiple platform build/check report for BioC 3.23: simplified long |
|
This page was generated on 2026-04-20 11:37 -0400 (Mon, 20 Apr 2026).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo1 | Linux (Ubuntu 24.04.4 LTS) | x86_64 | 4.6.0 alpha (2026-04-05 r89794) | 4961 |
| kjohnson3 | macOS 13.7.7 Ventura | arm64 | 4.6.0 alpha (2026-04-08 r89818) | 4690 |
| kunpeng2 | Linux (openEuler 24.03 LTS) | aarch64 | R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences" | 4627 |
| 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 169/2404 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| benchdamic 1.17.0 (landing page) Matteo Calgaro
| nebbiolo1 | Linux (Ubuntu 24.04.4 LTS) / x86_64 | ERROR | ERROR | skipped | |||||||||
| kjohnson3 | macOS 13.7.7 Ventura / arm64 | OK | OK | OK | OK | | ||||||||
| kunpeng2 | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | ERROR | ||||||||||
| See other builds for benchdamic in R Universe. | ||||||||||||||
|
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. |
| Package: benchdamic |
| Version: 1.17.0 |
| Command: /home/biocbuild/R/R/bin/R CMD check --install=check:benchdamic.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings benchdamic_1.17.0.tar.gz |
| StartedAt: 2026-04-17 02:55:06 -0000 (Fri, 17 Apr 2026) |
| EndedAt: 2026-04-17 03:10:54 -0000 (Fri, 17 Apr 2026) |
| EllapsedTime: 947.8 seconds |
| RetCode: 1 |
| Status: ERROR |
| CheckDir: benchdamic.Rcheck |
| Warnings: NA |
##############################################################################
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###
### Running command:
###
### /home/biocbuild/R/R/bin/R CMD check --install=check:benchdamic.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings benchdamic_1.17.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.23-bioc/meat/benchdamic.Rcheck’
* using R Under development (unstable) (2025-02-19 r87757)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
aarch64-unknown-linux-gnu-gcc (GCC) 14.2.0
GNU Fortran (GCC) 14.2.0
* running under: openEuler 24.03 (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 ‘1.17.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... INFO
Imports includes 32 non-default packages.
Importing from so many packages makes the package vulnerable to any of
them becoming unavailable. Move as many as possible to Suggests and
use conditionally.
* 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 ... NOTE
Namespace in Imports field not imported from: ‘microbiome’
All declared Imports should be used.
* 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 ... NOTE
Non-topic package-anchored link(s) in Rd file 'norm_DESeq2.Rd':
‘[DESeq2]{estimateSizeFactors}’
See section 'Cross-references' in the 'Writing R Extensions' manual.
* 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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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
calcNormFactors has been renamed to normLibSizes
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"
+ )
>
> # plot concordances from rank 1 to 50.
> plotConcordance(
+ concordance = concordance_pvalues,
+ threshold = 50
+ )
Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.
ℹ The deprecated feature was likely used in the benchdamic package.
Please report the issue at <https://github.com/mcalgaro93/benchdamic/issues>.
$concordanceDendrogram
$concordanceHeatmap
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
createConcordance 8.781 0.187 17.558
areaCAT 5.544 0.026 5.588
createTIEC 4.795 0.091 9.141
DA_ALDEx2 4.189 0.231 5.077
fitModels 3.711 0.028 7.467
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘testthat.R’
OK
* 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: 1 ERROR, 2 NOTEs
See
‘/home/biocbuild/bbs-3.23-bioc/meat/benchdamic.Rcheck/00check.log’
for details.
benchdamic.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R/bin/R CMD INSTALL benchdamic ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/R/R-devel_2025-02-19/site-library’ * installing *source* package ‘benchdamic’ ... ** this is package ‘benchdamic’ version ‘1.17.0’ ** 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)
benchdamic.Rcheck/tests/testthat.Rout
R Under development (unstable) (2025-02-19 r87757) -- "Unsuffered Consequences"
Copyright (C) 2025 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)
Found more than one class "dist" in cache; using the first, from namespace 'BiocGenerics'
Also defined by 'spam'
>
> test_check("benchdamic")
|------------(25%)----------(50%)----------(75%)----------|
|------------(25%)----------(50%)----------(75%)----------|
|------------(25%)----------(50%)----------(75%)----------|
|------------(25%)----------(50%)----------(75%)----------|
|------------(25%)----------(50%)----------(75%)----------|
[ FAIL 0 | WARN 0 | SKIP 0 | PASS 334 ]
>
> proc.time()
user system elapsed
101.527 8.452 164.404
benchdamic.Rcheck/benchdamic-Ex.timings
| name | user | system | elapsed | |
| CAT | 0.004 | 0.000 | 0.004 | |
| DA_ALDEx2 | 4.189 | 0.231 | 5.077 | |
| DA_ANCOM | 1.144 | 0.048 | 1.540 | |
| DA_DESeq2 | 4.067 | 0.079 | 4.255 | |
| DA_MAST | 1.912 | 0.028 | 2.008 | |
| DA_Maaslin2 | 0.352 | 0.012 | 0.377 | |
| DA_NOISeq | 1.787 | 0.052 | 1.847 | |
| DA_Seurat | 2.448 | 0.031 | 2.539 | |
| DA_ZicoSeq | 1.043 | 0.004 | 1.054 | |
| DA_basic | 0.041 | 0.000 | 0.041 | |
| DA_corncob | 0.909 | 0.013 | 1.729 | |
| DA_dearseq | 0.075 | 0.000 | 0.084 | |
| DA_edgeR | 0.254 | 0.008 | 0.264 | |
| DA_limma | 0.097 | 0.004 | 0.101 | |
| DA_linda | 0.071 | 0.000 | 0.075 | |
| DA_maaslin3 | 0.795 | 0.007 | 0.832 | |
| DA_metagenomeSeq | 0.340 | 0.000 | 0.349 | |
| DA_mixMC | 0.955 | 0.004 | 1.204 | |
| RMSE | 0.001 | 0.000 | 0.001 | |
| addKnowledge | 0.213 | 0.000 | 0.214 | |
| areaCAT | 5.544 | 0.026 | 5.588 | |
| checkNormalization | 0.001 | 0.000 | 0.000 | |
| createColors | 0.006 | 0.000 | 0.006 | |
| createConcordance | 8.781 | 0.187 | 17.558 | |
| createEnrichment | 0.361 | 0.001 | 0.724 | |
| createMocks | 0.003 | 0.000 | 0.007 | |
| createPositives | 1.443 | 0.028 | 3.068 | |
| createSplits | 0.043 | 0.004 | 0.092 | |
| createTIEC | 4.795 | 0.091 | 9.141 | |
| enrichmentTest | 0.199 | 0.028 | 0.483 | |
| extractDA | 0.283 | 0.008 | 0.584 | |
| extractStatistics | 0.284 | 0.004 | 0.576 | |
| fitDM | 0.051 | 0.000 | 0.102 | |
| fitHURDLE | 1.031 | 0.016 | 2.152 | |
| fitModels | 3.711 | 0.028 | 7.467 | |
| fitNB | 0.073 | 0.000 | 0.141 | |
| fitZIG | 0.126 | 0.004 | 0.263 | |
| fitZINB | 0.672 | 0.021 | 1.411 | |
| getDA | 0.120 | 0.000 | 0.241 | |
| getPositives | 0.120 | 0.001 | 0.239 | |
| getStatistics | 0.105 | 0.000 | 0.213 | |
| get_counts_metadata | 0.176 | 0.000 | 0.415 | |
| iterative_ordering | 0.014 | 0.000 | 0.062 | |
| meanDifferences | 0.002 | 0.000 | 0.007 | |
| norm_CSS | 0.104 | 0.004 | 0.216 | |
| norm_DESeq2 | 0.668 | 0.004 | 1.600 | |
| norm_TSS | 0.050 | 0.000 | 0.103 | |
| norm_edgeR | 0.057 | 0.000 | 0.113 | |