R Under development (unstable) (2023-10-24 r85407 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 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(worcs) Welcome to WORCS: Workflow for Open Reproducible Code in Science. Please read the tutorial before using this package, and consider citing it: Van Lissa and colleagues (2020)  > > test_check("worcs") Error in libgit2::git_repository_open_ext : could not find repository at 'D:\RCompile\CRANincoming\R-devel\worcs.Rcheck\tests\testthat' "C:/PROGRA~1/Pandoc/pandoc" +RTS -K512m -RTS manuscript.knit.md --to gfm+tex_math_dollars-yaml_metadata_block --from markdown+autolink_bare_uris+tex_math_single_backslash --output manuscript.md --template "D:\RCompile\CRANpkg\lib\4.4\rmarkdown\rmarkdown\templates\github_document\resources\default.md" "C:/PROGRA~1/Pandoc/pandoc" +RTS -K512m -RTS manuscript.md --to html4 --from gfm+tex_math_dollars --output manuscript.html --embed-resources --standalone --highlight-style pygments --template "D:\RCompile\CRANpkg\lib\4.4\rmarkdown\rmarkdown\templates\github_document\resources\preview.html" --variable "github-markdown-css:D:\RCompile\CRANpkg\lib\4.4\rmarkdown\rmarkdown\templates\github_document\resources\github.css" --metadata 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|=============================================== | 67% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% Missing value imputation by random forests Variables to impute: Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, Species Variables used to impute: Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, Species iter 1 | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% iter 2 | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% iter 3 | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% [ FAIL 0 | WARN 0 | SKIP 0 | PASS 156 ] > > proc.time() user system elapsed 25.98 6.32 49.71