R Under development (unstable) (2023-09-12 r85134 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 from 'D:\RCompile\CRANincoming\R-devel\worcs.Rcheck\tests\testthat' | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |================== | 25% | 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|===================================================================== | 98% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 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% 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