Jovan Tanevski
| Snapshot Date: 2024-05-01 14:05:06 -0400 (Wed, 01 May 2024) |
| git_url: https://git.bioconductor.org/packages/mistyR |
| git_branch: devel |
| git_last_commit: 142139d |
| git_last_commit_date: 2024-04-30 11:35:00 -0400 (Tue, 30 Apr 2024) |
| Back to Multiple platform build/check report for BioC 3.20: simplified long |
|
This page was generated on 2024-05-03 11:38:34 -0400 (Fri, 03 May 2024).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 22.04.3 LTS) | x86_64 | 4.4.0 RC (2024-04-16 r86468) -- "Puppy Cup" | 4660 |
| palomino4 | Windows Server 2022 Datacenter | x64 | 4.4.0 RC (2024-04-16 r86468 ucrt) -- "Puppy Cup" | 4391 |
| merida1 | macOS 12.7.4 Monterey | x86_64 | 4.4.0 Patched (2024-04-24 r86482) -- "Puppy Cup" | 4422 |
| 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 1256/2230 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| mistyR 1.13.0 (landing page) Jovan Tanevski
| nebbiolo2 | Linux (Ubuntu 22.04.3 LTS) / x86_64 | OK | OK | OK | | ||||||||
| palomino4 | Windows Server 2022 Datacenter / x64 | OK | OK | OK | OK | | ||||||||
| merida1 | macOS 12.7.4 Monterey / x86_64 | OK | OK | OK | OK | | ||||||||
| kjohnson1 | macOS 13.6.6 Ventura / arm64 | see weekly results here | ||||||||||||
|
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. |
| Package: mistyR |
| Version: 1.13.0 |
| 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_1.13.0.tar.gz |
| StartedAt: 2024-05-02 07:32:20 -0400 (Thu, 02 May 2024) |
| EndedAt: 2024-05-02 08:03:04 -0400 (Thu, 02 May 2024) |
| EllapsedTime: 1843.3 seconds |
| RetCode: 0 |
| Status: OK |
| CheckDir: mistyR.Rcheck |
| Warnings: 0 |
##############################################################################
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###
### 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_1.13.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/Users/biocbuild/bbs-3.20-bioc/meat/mistyR.Rcheck’
* using R version 4.4.0 Patched (2024-04-24 r86482)
* using platform: x86_64-apple-darwin20
* 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 12.7.4
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘mistyR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘mistyR’ version ‘1.13.0’
* 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 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 whether 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 ... NOTE
checkRd: (-1) collect_results.Rd:32: Lost braces; missing escapes or markup?
32 | for all performance measures for each {target} over all samples.}
| ^
* 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 274.375 17.678 345.082
run_misty 89.910 5.742 108.095
reexports 87.087 7.281 104.461
remove_views 60.185 6.529 78.929
add_paraview 48.675 2.945 59.954
add_juxtaview 15.039 0.547 17.946
create_view 15.345 0.128 18.786
plot_improvement_stats 9.230 0.448 11.822
plot_contrast_results 6.210 0.235 7.977
plot_contrast_heatmap 5.877 0.245 7.399
plot_interaction_heatmap 4.803 0.224 6.180
plot_interaction_communities 4.585 0.233 5.953
plot_view_contributions 4.538 0.224 5.751
extract_signature 4.152 0.219 5.260
* 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: 2 NOTEs
See
‘/Users/biocbuild/bbs-3.20-bioc/meat/mistyR.Rcheck/00check.log’
for details.
mistyR.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL mistyR ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.4-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)
mistyR.Rcheck/tests/testthat.Rout
R version 4.4.0 Patched (2024-04-24 r86482) -- "Puppy Cup"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin20
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
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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
798.628 11.332 966.738
mistyR.Rcheck/mistyR-Ex.timings
| name | user | system | elapsed | |
| add_juxtaview | 15.039 | 0.547 | 17.946 | |
| add_paraview | 48.675 | 2.945 | 59.954 | |
| add_views | 0.029 | 0.023 | 0.060 | |
| clear_cache | 0.005 | 0.001 | 0.006 | |
| collect_results | 274.375 | 17.678 | 345.082 | |
| create_initial_view | 0.795 | 0.019 | 1.011 | |
| create_view | 15.345 | 0.128 | 18.786 | |
| extract_signature | 4.152 | 0.219 | 5.260 | |
| filter_views | 2.461 | 0.036 | 2.978 | |
| plot_contrast_heatmap | 5.877 | 0.245 | 7.399 | |
| plot_contrast_results | 6.210 | 0.235 | 7.977 | |
| plot_improvement_stats | 9.230 | 0.448 | 11.822 | |
| plot_interaction_communities | 4.585 | 0.233 | 5.953 | |
| plot_interaction_heatmap | 4.803 | 0.224 | 6.180 | |
| plot_view_contributions | 4.538 | 0.224 | 5.751 | |
| reexports | 87.087 | 7.281 | 104.461 | |
| remove_views | 60.185 | 6.529 | 78.929 | |
| rename_view | 0.032 | 0.004 | 0.039 | |
| run_misty | 89.910 | 5.742 | 108.095 | |
| select_markers | 0.621 | 0.024 | 0.720 | |