R Under development (unstable) (2025-07-11 r88405 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 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. Run `check_worcs_installation()` to make sure all dependencies are installed. For more information, see the package vignettes () and accompanying paper: Van Lissa and colleagues (2020) () > > test_check("worcs") v Creating manuscript files. v Creating manuscript files. v Creating manuscript files. v Creating preregistration files. v Creating preregistration files. Linking to libgit2 v1.7.2, ssh support: YES Global config: C:\Users\CRAN\.gitconfig Default user: yourname v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/aaa1282c4852688f". v Storing original data in 'dat.csv' and updating the checksum in '.worcs'. v Updating '.gitignore'. v Creating a codebook in 'codebook_dat.Rmd'. processing file: manuscript.Rmd output file: manuscript.knit.md "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\4.6\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\4.6\rmarkdown\rmarkdown\templates\github_document\resources\preview.html" --variable "github-markdown-css:D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmarkdown\templates\github_document\resources\github.css" --metadata pagetitle=PREVIEW --mathjax Preview created: manuscript.html Output created: manuscript.md v Setting active project to "". processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md processing file: test.Rmd output file: test.knit.md Preview created: test.html Output created: test.md v Storing original data in 'iris.csv' and updating the checksum in '.worcs'. v Updating '.gitignore'. v Creating a codebook in 'codebook_iris.Rmd'. v Storing value labels in 'value_labels_iris.yml'. v Loading original data from 'iris.csv'. v Loading original data from 'iris.csv'. v Loading original data from 'iris.csv'. v Loading original data from 'iris.csv'. x Checksum for file 'D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/saveload/iris.csv' did not match the checksum on record (in '.worcs'). This means that the file has changed since the checksum was stored. v Loading original data from 'iris.csv'. v Storing original data in 'iris.csv' and updating the checksum in '.worcs'. v Generating synthetic data for public use. Ensure that no identifying information is included. | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. v Storing value labels in 'value_labels_iris.yml'. v Loading original data from 'iris.csv'. v Loading synthetic data from 'synthetic_iris.csv'. v Storing original data in 'iris.csv' and updating the checksum in '.worcs'. v Updating '.gitignore'. v Storing value labels in 'value_labels_iris.yml'. v Storing original data in 'iris.csv' and updating the checksum in '.worcs'. v Updating '.gitignore'. v Creating a codebook in 'codebook_iris.Rmd'. v Storing value labels in 'value_labels_iris.yml'. v Storing original data in 'cars.csv' and updating the checksum in '.worcs'. v Generating synthetic data for public use. Ensure that no identifying information is included. | | | 0% | |=================================== | 50% | |======================================================================| 100% i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. v Creating a codebook in 'codebook_cars.Rmd'. v Loading original data from 'iris.csv'. v Loading synthetic data from 'synthetic_cars.csv'. v Loading original data from 'iris.csv'. v Loading synthetic data from 'synthetic_cars.csv'. v Storing original data in 'df.csv' and updating the checksum in '.worcs'. v Generating synthetic data for public use. Ensure that no identifying information is included. | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. v Storing value labels in 'value_labels_df.yml'. v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/savedat21282c3bb47023". v Creating manuscript files. v Storing original data in 'df1.csv' and updating the checksum in '.worcs'. v Generating synthetic data for public use. Ensure that no identifying information is included. | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. v Creating a codebook in 'codebook_df1.Rmd'. v Storing original data in 'df2.csv' and updating the checksum in '.worcs'. v Generating synthetic data for public use. Ensure that no identifying information is included. | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. v Creating a codebook in 'codebook_df2.Rmd'. v Setting active project to "". v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/aaa1282c57d92a45". v Adding recipe to '.worcs'. v Creating first commit (committing README.md). v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/zip". v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/aaa1282c57d92a45". v Setting active project to "". v Adding recipe to '.worcs'. i Your analysis might not reproduce because worcs could not identify associated data sources. v Adding recipe to '.worcs'. i Your analysis might not reproduce because worcs could not identify associated data sources. [1] "writeLines(test, test.txt)" v Storing original data in 'dat.dat' and updating the checksum in '.worcs'. v Updating '.gitignore'. v Storing value labels in 'value_labels_dat.yml'. v Loading original data from 'dat.dat'. x No valid codebook found. v Loading original data from 'dat.dat'. x No valid codebook found. v Loading original data from 'dat.dat'. x No valid codebook found. v Loading original data from 'dat.dat'. x No valid codebook found. x Checksum for file 'D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/save_expression/dat.dat' did not match the checksum on record (in '.worcs'). This means that the file has changed since the checksum was stored. v Loading original data from 'dat.dat'. x No valid codebook found. v Storing original data in 'dat.dat' and updating the checksum in '.worcs'. v Generating synthetic data for public use. Ensure that no identifying information is included. | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. i Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Storing synthetic data in "fn_write_synth_rel" and updating the checksum in... v Updating '.gitignore'. v Storing value labels in 'value_labels_dat.yml'. v Loading original data from 'dat.dat'. x No valid codebook found. v Loading synthetic data from 'synthetic_dat.dat'. x No valid codebook found. | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% ✔ Synthetic variable 'Seed' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% ✔ Synthetic variable 'Assault' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'UrbanPop' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |====== | 8% | |============ | 17% | |================== | 25% | |======================= | 33% | |============================= | 42% | |=================================== | 50% | |========================================= | 58% | |=============================================== | 67% | |==================================================== | 75% | |========================================================== | 83% | |================================================================ | 92% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |========== | 14% | |==================== | 29% | |============================== | 43% | |======================================== | 57% | |================================================== | 71% | |============================================================ | 86% | |======================================================================| 100% | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100% ✖ Argument 'data' has missing values, but no 'missingness_expression' is specified. Listwise deletion is used. | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100% ✔ Synthetic variable 'Solar.R' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'Temp' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'Month' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'Day' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |========= | 12% | |================== | 25% | |========================== | 38% | |=================================== | 50% | |============================================ | 62% | |==================================================== | 75% | |============================================================= | 88% | |======================================================================| 100% ✖ Argument 'data' has missing values, but no 'missingness_expression' is specified. Listwise deletion is used. | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |========== | 14% | |==================== | 29% | |============================== | 43% | |======================================== | 57% | |================================================== | 71% | |============================================================ | 86% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% ✔ Synthetic variable 'Freq' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% ✔ Synthetic variable 'alcgp' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'tobgp' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |====== | 9% | |============= | 18% | |=================== | 27% | |========================= | 36% | |================================ | 45% | |====================================== | 55% | |============================================= | 64% | |=================================================== | 73% | |========================================================= | 82% | |================================================================ | 91% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% ✔ Synthetic variable 'y' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% ✔ Synthetic variable 'freeny.y' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |========= | 12% | |================== | 25% | |========================== | 38% | |=================================== | 50% | |============================================ | 62% | |==================================================== | 75% | |============================================================= | 88% | |======================================================================| 100% ✔ Synthetic variable 'stratum' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |========== | 14% | |==================== | 29% | |============================== | 43% | |======================================== | 57% | |================================================== | 71% | |============================================================ | 86% | |======================================================================| 100% ✔ Synthetic variable 'Year' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% ✔ Synthetic variable 'Run' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'Speed' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |====== | 9% | |============= | 18% | |=================== | 27% | |========================= | 36% | |================================ | 45% | |====================================== | 55% | |============================================= | 64% | |=================================================== | 73% | |========================================================= | 82% | |================================================================ | 91% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% | | | 0% | |============== | 20% | |============================ | 40% | |========================================== | 60% | |======================================================== | 80% | |======================================================================| 100% ✔ Synthetic variable 'depth' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'stations' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |================== | 25% | |=================================== | 50% | |==================================================== | 75% | |======================================================================| 100% | | | 0% | |========= | 12% | |================== | 25% | |========================== | 38% | |=================================== | 50% | |============================================ | 62% | |==================================================== | 75% | |============================================================= | 88% | |======================================================================| 100% | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100% ✔ Synthetic variable 'Examination' did not have identical classes to its original counterpart. Attempted to convert to its original type. Check the input types of your variables, and check whether the data are synthesized correctly. ✔ Synthetic variable 'Education' did not have identical classes to its original counterpart. Attempted to convert to its original type. 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|======================================================================| 100% | | | 0% | |======================= | 33% | |=============================================== | 67% | |======================================================================| 100% | | | 0% | |=================================== | 50% | |======================================================================| 100% Loading required package: targets Attaching package: 'targets' The following object is masked from 'package:testthat': matches v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/aaa1282c37a432db". x Creating manuscript files. v Adding recipe to '.worcs'. v Wrote _targets.R v Added targets to project. v Setting recipe to targets::tar_make(). v Adding rmarkdown manuscript to targets pipeline. v Adding targets to rmarkdown manuscript. v Creating directory './R/' for targets scripts. v Initializing 'targets' for a Make-like pipeline. → de-duplicating _targets/meta/meta → reading _targets/meta/meta → parsing _targets/meta/meta → noting builders and branches → parsing _targets/meta/meta → restricting metadata records → querying 0 local files in _targets/objects → parsing _targets/meta/process + data dispatched ✔ data completed [20ms, 1.74 kB] + model dispatched ✔ model completed [20ms, 107 B] + manuscript dispatched Quitting from manuscript.Rmd:6-15 [setup] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ NULL ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ✖ manuscript errored → de-duplicating _targets/meta/meta ✖ errored pipeline [661ms, 2 completed, 0 skipped] processing file: manuscript.Rmd output file: manuscript.knit.md "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\4.6\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\4.6\rmarkdown\rmarkdown\templates\github_document\resources\preview.html" --variable "github-markdown-css:D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmarkdown\templates\github_document\resources\github.css" --metadata pagetitle=PREVIEW --mathjax Preview created: manuscript.html Output created: manuscript.md # Created by use_targets(). # Follow the comments below to fill in this target script. # Then follow the manual to check and run the pipeline: # https://books.ropensci.org/targets/walkthrough.html#inspect-the-pipeline # Load packages required to define the pipeline: library(targets) # library(tarchetypes) # Load other packages as needed. # Set target options: tar_option_set( packages = c("tibble") # Packages that your targets need for their tasks. # format = "qs", # Optionally set the default storage format. qs is fast. # # Pipelines that take a long time to run may benefit from # optional distributed computing. To use this capability # in tar_make(), supply a {crew} controller # as discussed at https://books.ropensci.org/targets/crew.html. # Choose a controller that suits your needs. For example, the following # sets a controller that scales up to a maximum of two workers # which run as local R processes. Each worker launches when there is work # to do and exits if 60 seconds pass with no tasks to run. # # controller = crew::crew_controller_local(workers = 2, seconds_idle = 60) # # Alternatively, if you want workers to run on a high-performance computing # cluster, select a controller from the {crew.cluster} package. # For the cloud, see plugin packages like {crew.aws.batch}. # The following example is a controller for Sun Grid Engine (SGE). # # controller = crew.cluster::crew_controller_sge( # # Number of workers that the pipeline can scale up to: # workers = 10, # # It is recommended to set an idle time so workers can shut themselves # # down if they are not running tasks. # seconds_idle = 120, # # Many clusters install R as an environment module, and you can load it # # with the script_lines argument. To select a specific verison of R, # # you may need to include a version string, e.g. "module load R/4.3.2". # # Check with your system administrator if you are unsure. # script_lines = "module load R" # ) # # Set other options as needed. ) # Run the R scripts in the R/ folder with your custom functions: tar_source() # tar_source("other_functions.R") # Source other scripts as needed. # Replace the target list below with your own: list( tar_target( name = data, command = tibble(x = rnorm(100), y = rnorm(100)) # format = "qs" # Efficient storage for general data objects. ), tar_target( name = model, command = coefficients(lm(y ~ x, data = data)) ), tarchetypes::tar_render(manuscript, "manuscript/manuscript.Rmd", cue = tar_cue(mode = 'always')) )[1] "_targets.yaml" "manuscript.Rmd" "manuscript.md" "manuscript_files" → de-duplicating ../_targets/meta/meta → reading ../_targets/meta/meta → parsing ../_targets/meta/meta → noting builders and branches → parsing ../_targets/meta/meta → restricting metadata records → querying 0 local files in ../_targets/objects → parsing ../_targets/meta/process + data dispatched ✔ data completed [20ms, 1.74 kB] + model dispatched ✔ model completed [0ms, 107 B] + manuscript dispatched ✔ manuscript completed [900ms, 5.55 kB] → de-duplicating ../_targets/meta/meta ✔ ended pipeline [1.2s, 3 completed, 0 skipped] v Setting active project to "". v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/aaa1282c4b065696". v Writing '_targets.Rmd'. v Creating manuscript files. v Adding recipe to '.worcs'. v Added targets to project. v Setting recipe to targets::tar_make(). v Creating directory './R/' for targets scripts. v Initializing 'targets' for a Make-like pipeline. processing file: _targets.Rmd output file: _targets.knit.md "C:/PROGRA~1/Pandoc/pandoc" +RTS -K512m -RTS _targets.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output _targets.html --lua-filter "D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmarkdown\lua\pagebreak.lua" --lua-filter "D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmarkdown\lua\latex-div.lua" --embed-resources --standalone --variable bs3=TRUE --section-divs --template "D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmd\h\default.html" --no-highlight --variable highlightjs=1 --variable theme=bootstrap --mathjax --variable "mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" --include-in-header "D:\temp\2025_07_13_11_15_16_24165\RtmpQTvxyU\rmarkdown-str1282c17ea364f.html" Output created: _targets.html i Your analysis might not reproduce because worcs could not identify associated data sources. processing file: _targets.Rmd output file: _targets.knit.md "C:/PROGRA~1/Pandoc/pandoc" +RTS -K512m -RTS _targets.knit.md --to html4 --from markdown+autolink_bare_uris+tex_math_single_backslash --output _targets.html --lua-filter "D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmarkdown\lua\pagebreak.lua" --lua-filter "D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmarkdown\lua\latex-div.lua" --embed-resources --standalone --variable bs3=TRUE --section-divs --template "D:\RCompile\CRANpkg\lib\4.6\rmarkdown\rmd\h\default.html" --no-highlight --variable highlightjs=1 --variable theme=bootstrap --mathjax --variable "mathjax-url=https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" --include-in-header "D:\temp\2025_07_13_11_15_16_24165\RtmpQTvxyU\rmarkdown-str1282c5b91b9d.html" Output created: _targets.html v Setting active project to "". Missing value imputation by random forests Variables to impute: Sepal.Length, Petal.Length, Species, Petal.Width, Sepal.Width 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% v Setting active project to "D:/temp/2025_07_13_11_15_16_24165/RtmpQTvxyU/aaa1282c2a345471". x Creating manuscript files. v Adding recipe to '.worcs'. v Creating preregistration files. v Creating first commit (committing README.md). v Setting active project to "". [ FAIL 0 | WARN 11 | SKIP 0 | PASS 180 ] [ FAIL 0 | WARN 11 | SKIP 0 | PASS 180 ] > > proc.time() user system elapsed 15.71 2.64 69.65