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This page was generated on 2023-10-20 09:38:00 -0400 (Fri, 20 Oct 2023).

HostnameOSArch (*)R versionInstalled pkgs
kjohnson2macOS 12.6.1 Montereyarm644.3.1 (2023-06-16) -- "Beagle Scouts" 4347
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Package 479/2230HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
CyTOFpower 1.6.0  (landing page)
Anne-Maud Ferreira
Snapshot Date: 2023-10-15 14:00:07 -0400 (Sun, 15 Oct 2023)
git_url: https://git.bioconductor.org/packages/CyTOFpower
git_branch: RELEASE_3_17
git_last_commit: d4e8e1b
git_last_commit_date: 2023-04-25 11:33:50 -0400 (Tue, 25 Apr 2023)
kjohnson2macOS 12.6.1 Monterey / arm64  OK    OK    ERROR    OK  

CHECK results for CyTOFpower on kjohnson2


To the developers/maintainers of the CyTOFpower 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.

raw results


Summary

Package: CyTOFpower
Version: 1.6.0
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:CyTOFpower.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings CyTOFpower_1.6.0.tar.gz
StartedAt: 2023-10-17 13:37:26 -0400 (Tue, 17 Oct 2023)
EndedAt: 2023-10-17 13:39:19 -0400 (Tue, 17 Oct 2023)
EllapsedTime: 113.6 seconds
RetCode: 1
Status:   ERROR  
CheckDir: CyTOFpower.Rcheck
Warnings: NA

Command output

##############################################################################
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###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:CyTOFpower.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings CyTOFpower_1.6.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.17-bioc-mac-arm64/meat/CyTOFpower.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 ‘CyTOFpower/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘CyTOFpower’ version ‘1.6.0’
* 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 ‘CyTOFpower’ 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 ... NOTE
Problems with news in ‘NEWS’:
  Cannot process chunk/lines:
    Changes in version 0.99.0 (2021-09-15)
* 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 files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
  2          m2        3 1.1            0.1  10          3                  3
  3          m3        3 1.0            0.1  10          3                  3
  Run the LMM model with random effect
  boundary (singular) fit: see help('isSingular')
  Run the LMM model with random effect
  boundary (singular) fit: see help('isSingular')
  [ FAIL 1 | WARN 26 | SKIP 0 | PASS 68 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test_run_models.R:85:3'): Run the CytoGLMM - GLMM model ───────────
  `cytoglmm_res <- function_run_cytoGLMM(mock_dataset = ls_3markers$ls_mock_data)` did not throw the expected warning.
  
  [ FAIL 1 | WARN 26 | SKIP 0 | PASS 68 ]
  Error: Test failures
  Execution halted
* 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: 1 ERROR, 1 NOTE
See
  ‘/Users/biocbuild/bbs-3.17-bioc-mac-arm64/meat/CyTOFpower.Rcheck/00check.log’
for details.


Installation output

CyTOFpower.Rcheck/00install.out

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL CyTOFpower
###
##############################################################################
##############################################################################


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library’
* installing *source* package ‘CyTOFpower’ ...
** using staged installation
** R
** 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 (CyTOFpower)

Tests output

CyTOFpower.Rcheck/tests/testthat.Rout.fail


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(CyTOFpower)
> 
> test_check("CyTOFpower")
[[1]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3   1            0.1  10          3                  1

[[2]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m2        3 1.1            0.1  10          3                  1

  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
[[1]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3   1            0.1  10          3                  3

[[2]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m2        3 1.1            0.1  10          3                  3

[[3]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m3        3   1            0.1  10          3                  3

[[1]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3   1            0.1  10          3                  3

[[2]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m2        3 1.1            0.1  10          3                  3

[[3]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m3        3   1            0.1  10          3                  3

[[1]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3   1            0.1  10          3                  3

[[2]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m2        3 1.1            0.1  10          3                  3

[[3]]
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m3        3   1            0.1  10          3                  3

Joining with `by = join_by(markers)`
Joining with `by = join_by(markers)`
boundary (singular) fit: see help('isSingular')
Fitting linear models with random effects term for 'block_id'.
boundary (singular) fit: see help('isSingular')
Run the limma model with random effect
Fitting linear models with random effects term for 'block_id'.
Run the limma model with fixed effect
Run the LMM model with random effect
boundary (singular) fit: see help('isSingular')
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
Run the limma model with random effect
Fitting linear models with random effects term for 'block_id'.
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
Run the limma model with fixed effect
  marker_name nb_donor rho subject_effect mu0 dispersion nb_cell_per_sample
1          m1        3 1.0            0.1  10          3                  3
2          m2        3 1.1            0.1  10          3                  3
3          m3        3 1.0            0.1  10          3                  3
Run the LMM model with random effect
boundary (singular) fit: see help('isSingular')
Run the LMM model with random effect
boundary (singular) fit: see help('isSingular')
[ FAIL 1 | WARN 26 | SKIP 0 | PASS 68 ]

══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test_run_models.R:85:3'): Run the CytoGLMM - GLMM model ───────────
`cytoglmm_res <- function_run_cytoGLMM(mock_dataset = ls_3markers$ls_mock_data)` did not throw the expected warning.

[ FAIL 1 | WARN 26 | SKIP 0 | PASS 68 ]
Error: Test failures
Execution halted

Example timings

CyTOFpower.Rcheck/CyTOFpower-Ex.timings

nameusersystemelapsed
CyTOFpower0.0000.0010.001