R Under development (unstable) (2024-02-22 r85974 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 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(TRexSelector) > > test_check("TRexSelector") Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Computing random experiments in parallel... Note that this is only advantageous if you have at least a few thousand predictors and/or data points in 'X'. Otherwise, the overhead will slow down the computations in parallel. Thus, for small data sizes it is better to set parallel_process = FALSE. Be careful! Computing random experiments in parallel... Note that this is only advantageous if you have at least a few thousand predictors and/or data points in 'X'. Otherwise, the overhead will slow down the computations in parallel. Thus, for small data sizes it is better to set parallel_process = FALSE. Be careful! Appended dummies: 100 Appended dummies: 200 Included dummies before stopping: 2 Included dummies before stopping: 3 Appended dummies: 100 Appended dummies: 200 Appended dummies: 300 Appended dummies: 400 Appended dummies: 500 Appended dummies: 600 Appended dummies: 700 Included dummies before stopping: 2 Included dummies before stopping: 3 Included dummies before stopping: 4 Included dummies before stopping: 5 Included dummies before stopping: 6 Included dummies before stopping: 7 Included dummies before stopping: 8 Included dummies before stopping: 9 Included dummies before stopping: 10 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 117 ] > > proc.time() user system elapsed 10.53 0.89 16.17