Back to Multiple platform build/check report for BioC 3.18:   simplified   long
ABCDEFGHIJKL[M]NOPQRSTUVWXYZ

This page was generated on 2024-04-17 11:37:57 -0400 (Wed, 17 Apr 2024).

HostnameOSArch (*)R versionInstalled pkgs
nebbiolo2Linux (Ubuntu 22.04.3 LTS)x86_644.3.3 (2024-02-29) -- "Angel Food Cake" 4676
palomino4Windows Server 2022 Datacenterx644.3.3 (2024-02-29 ucrt) -- "Angel Food Cake" 4414
merida1macOS 12.7.1 Montereyx86_644.3.3 (2024-02-29) -- "Angel Food Cake" 4437
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 1281/2266HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
mistyR 1.10.0  (landing page)
Jovan Tanevski
Snapshot Date: 2024-04-15 14:05:01 -0400 (Mon, 15 Apr 2024)
git_url: https://git.bioconductor.org/packages/mistyR
git_branch: RELEASE_3_18
git_last_commit: faa0739
git_last_commit_date: 2023-10-24 11:34:01 -0400 (Tue, 24 Oct 2023)
nebbiolo2Linux (Ubuntu 22.04.3 LTS) / x86_64  OK    OK    OK  UNNEEDED, same version is already published
palomino4Windows Server 2022 Datacenter / x64  OK    OK    OK    OK  UNNEEDED, same version is already published
merida1macOS 12.7.1 Monterey / x86_64  OK    OK    OK    OK  UNNEEDED, same version is already published
kjohnson1macOS 13.6.1 Ventura / arm64see weekly results here

CHECK results for mistyR on merida1


To the developers/maintainers of the mistyR package:
- Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/mistyR.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.

raw results


Summary

Package: mistyR
Version: 1.10.0
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:mistyR.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings mistyR_1.10.0.tar.gz
StartedAt: 2024-04-16 05:30:45 -0400 (Tue, 16 Apr 2024)
EndedAt: 2024-04-16 05:56:53 -0400 (Tue, 16 Apr 2024)
EllapsedTime: 1567.6 seconds
RetCode: 0
Status:   OK  
CheckDir: mistyR.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:mistyR.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings mistyR_1.10.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.18-bioc/meat/mistyR.Rcheck’
* using R version 4.3.3 (2024-02-29)
* using platform: x86_64-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 12.7.1
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘mistyR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘mistyR’ 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 ‘mistyR’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking startup messages can be suppressed ... 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 ... NOTE
aggregate_results: no visible binding for global variable ‘measure’
aggregate_results: no visible binding for global variable ‘target’
aggregate_results: no visible binding for global variable ‘value’
aggregate_results: no visible binding for global variable ‘sd’
aggregate_results: no visible binding for global variable ‘view’
aggregate_results: no visible binding for global variable ‘.PT’
aggregate_results: no visible binding for global variable ‘Importance’
aggregate_results_subset: no visible binding for global variable ‘view’
aggregate_results_subset: no visible binding for global variable ‘.PT’
aggregate_results_subset: no visible binding for global variable
  ‘Importance’
bagged_mars_model: no visible binding for global variable ‘index’
bagged_mars_model: no visible binding for global variable ‘prediction’
collect_results : <anonymous>: no visible binding for global variable
  ‘intra.RMSE’
collect_results : <anonymous>: no visible binding for global variable
  ‘multi.RMSE’
collect_results : <anonymous>: no visible binding for global variable
  ‘multi.R2’
collect_results : <anonymous>: no visible binding for global variable
  ‘intra.R2’
collect_results: no visible binding for global variable ‘target’
collect_results : <anonymous>: no visible binding for global variable
  ‘target’
collect_results : <anonymous>: no visible binding for global variable
  ‘view’
collect_results : <anonymous> : <anonymous>: no visible binding for
  global variable ‘value’
collect_results : <anonymous> : <anonymous>: no visible binding for
  global variable ‘Predictor’
collect_results : <anonymous> : <anonymous>: no visible binding for
  global variable ‘Importance’
extract_signature: no visible binding for global variable ‘measure’
extract_signature: no visible binding for global variable ‘target’
extract_signature: no visible binding for global variable ‘ts’
extract_signature: no visible binding for global variable ‘view’
extract_signature: no visible binding for global variable ‘value’
extract_signature : <anonymous>: no visible binding for global variable
  ‘Importance’
extract_signature : <anonymous>: no visible binding for global variable
  ‘Target’
extract_signature : <anonymous>: no visible binding for global variable
  ‘ts’
extract_signature : <anonymous>: no visible binding for global variable
  ‘Predictor’
gradient_boosting_model: no visible binding for global variable ‘index’
linear_model: no visible binding for global variable ‘index’
mars_model: no visible binding for global variable ‘index’
mlp_model: no visible binding for global variable ‘index’
plot_contrast_heatmap: no visible binding for global variable ‘view’
plot_contrast_heatmap: no visible binding for global variable ‘measure’
plot_contrast_heatmap: no visible binding for global variable ‘target’
plot_contrast_heatmap: no visible binding for global variable ‘Target’
plot_contrast_heatmap: no visible binding for global variable
  ‘nsamples’
plot_contrast_heatmap: no visible binding for global variable
  ‘Predictor’
plot_contrast_heatmap: no visible binding for global variable
  ‘Importance’
plot_contrast_results: no visible binding for global variable ‘view’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘view’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘Predictor’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘Target’
plot_contrast_results: no visible binding for global variable ‘measure’
plot_contrast_results: no visible binding for global variable ‘target’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘nsamples’
plot_contrast_results : <anonymous>: no visible binding for global
  variable ‘Importance’
plot_improvement_stats: no visible binding for global variable ‘target’
plot_improvement_stats: no visible binding for global variable ‘sd’
plot_interaction_communities: no visible binding for global variable
  ‘nsamples’
plot_interaction_communities: no visible binding for global variable
  ‘Predictor’
plot_interaction_heatmap: no visible binding for global variable
  ‘measure’
plot_interaction_heatmap: no visible binding for global variable
  ‘target’
plot_interaction_heatmap: no visible binding for global variable
  ‘Target’
plot_interaction_heatmap: no visible binding for global variable
  ‘Importance’
plot_interaction_heatmap: no visible binding for global variable
  ‘Predictor’
plot_interaction_heatmap: no visible binding for global variable
  ‘total’
plot_view_contributions: no visible binding for global variable
  ‘measure’
plot_view_contributions: no visible binding for global variable
  ‘target’
plot_view_contributions: no visible binding for global variable
  ‘fraction’
plot_view_contributions: no visible binding for global variable ‘view’
run_misty : <anonymous>: no visible binding for global variable ‘p’
run_misty : <anonymous>: no visible binding for global variable
  ‘intra.RMSE’
run_misty : <anonymous>: no visible binding for global variable
  ‘multi.RMSE’
run_misty : <anonymous>: no visible binding for global variable
  ‘intra.R2’
run_misty : <anonymous>: no visible binding for global variable
  ‘multi.R2’
svm_model: no visible binding for global variable ‘index’
Undefined global functions or variables:
  .PT Importance Predictor Target fraction index intra.R2 intra.RMSE
  measure multi.R2 multi.RMSE nsamples p prediction sd target total ts
  value view
Consider adding
  importFrom("stats", "sd", "ts")
to your NAMESPACE file.
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                          user system elapsed
collect_results        264.059 18.249 302.142
reexports               86.772  6.355 102.409
run_misty               86.006  6.525 102.177
remove_views            56.577  5.544  67.744
add_paraview            46.260  4.035  51.769
add_juxtaview           13.222  0.617  14.257
create_view             13.116  0.091  14.726
plot_improvement_stats   7.896  0.405   8.763
plot_contrast_results    5.436  0.220   6.362
plot_contrast_heatmap    5.200  0.225   5.914
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/Users/biocbuild/bbs-3.18-bioc/meat/mistyR.Rcheck/00check.log’
for details.



Installation output

mistyR.Rcheck/00install.out

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


* installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/library’
* installing *source* package ‘mistyR’ ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mistyR)

Tests output

mistyR.Rcheck/tests/testthat.Rout


R version 4.3.3 (2024-02-29) -- "Angel Food Cake"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-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(mistyR)
mistyR is able to run computationally intensive functions
  in parallel. Please consider specifying a future::plan(). For example by running
  future::plan(future::multisession) before calling mistyR functions.
> 
> test_check("mistyR")

Generating paraview

Attaching package: 'purrr'

The following object is masked from 'package:testthat':

    is_null


Training models

Training models

Training models

Training models

Training models

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Training models

Training models

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview

Training models

Generating paraview

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Training models

Generating paraview

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Generating paraview

Generating paraview

Training models

Generating paraview

Training models

Generating paraview

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating
Aggregating subset

Generating paraview

Training models

Generating paraview

Training models

Generating paraview

Training models

Collecting improvements

Collecting contributions

Collecting importances

Aggregating

Computing triangulation

Generating juxtaview

Generating paraview

Generating paraview using 20 nearest neighbors per unit

Approximating RBF matrix using the Nystrom method

Computing triangulation

Generating juxtaview

Generating paraview

Computing triangulation

Generating juxtaview

Generating paraview

Computing triangulation

Generating paraview

Generating paraview

Generating paraview using 2 nearest neighbors per unit

Generating paraview

Generating paraview
[ FAIL 0 | WARN 4 | SKIP 0 | PASS 173 ]

[ FAIL 0 | WARN 4 | SKIP 0 | PASS 173 ]
> 
> proc.time()
   user  system elapsed 
731.069   8.665 787.011 

Example timings

mistyR.Rcheck/mistyR-Ex.timings

nameusersystemelapsed
add_juxtaview13.222 0.61714.257
add_paraview46.260 4.03551.769
add_views0.0300.0260.057
clear_cache0.0040.0010.005
collect_results264.059 18.249302.142
create_initial_view0.7420.0180.870
create_view13.116 0.09114.726
extract_signature3.6960.2104.221
filter_views2.3350.0322.646
plot_contrast_heatmap5.2000.2255.914
plot_contrast_results5.4360.2206.362
plot_improvement_stats7.8960.4058.763
plot_interaction_communities4.0330.2154.540
plot_interaction_heatmap4.2820.2094.888
plot_view_contributions3.9560.2064.475
reexports 86.772 6.355102.409
remove_views56.577 5.54467.744
rename_view0.0300.0040.035
run_misty 86.006 6.525102.177
select_markers0.5970.0240.666