Package: psycCleaning 0.1.1

Jason Moy

psycCleaning: Data Cleaning for Psychological Analyses

Useful for preparing and cleaning data. It includes functions to center data, reverse coding, dummy code and effect code data, and more.

Authors:Jason Moy [aut, cre]

psycCleaning_0.1.1.tar.gz
psycCleaning_0.1.1.zip(r-4.5)psycCleaning_0.1.1.zip(r-4.4)psycCleaning_0.1.1.zip(r-4.3)
psycCleaning_0.1.1.tgz(r-4.4-any)psycCleaning_0.1.1.tgz(r-4.3-any)
psycCleaning_0.1.1.tar.gz(r-4.5-noble)psycCleaning_0.1.1.tar.gz(r-4.4-noble)
psycCleaning_0.1.1.tgz(r-4.4-emscripten)psycCleaning_0.1.1.tgz(r-4.3-emscripten)
psycCleaning.pdf |psycCleaning.html✨
psycCleaning/json (API)
NEWS

# Install 'psycCleaning' in R:
install.packages('psycCleaning', repos = c('https://jasonmoy28.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jasonmoy28/psyccleaning/issues

Datasets:

On CRAN:

3.18 score 1 stars 1 scripts 219 downloads 14 exports 22 dependencies

Last updated 7 months agofrom:43ffc4e93f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winOKNov 06 2024
R-4.5-linuxOKNov 06 2024
R-4.4-winOKNov 06 2024
R-4.4-macOKNov 06 2024
R-4.3-winOKNov 06 2024
R-4.3-macOKNov 06 2024

Exports:%>%center_grand_meancenter_group_meancenter_mlmcomposite_scoredummy_codingeffect_codinglistwise_deletionrecode_itemsummarize_missing_valuesz_scored_grand_meanz_scored_group_meanz_scored_mlmz_scored_mlm_categorical

Dependencies:clicpp11data.tabledplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr