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-4.7-any)psycCleaning_0.1.1.zip(r-4.6-any)psycCleaning_0.1.1.zip(r-4.5-any)
psycCleaning_0.1.1.tgz(r-4.6-any)psycCleaning_0.1.1.tgz(r-4.5-any)
psycCleaning_0.1.1.tar.gz(r-4.7-any)psycCleaning_0.1.1.tar.gz(r-4.6-any)
psycCleaning_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
psycCleaning/json (API)

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

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

Pkgdown/docs site:https://jasonmoy28.github.io

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 1 scripts 213 downloads 14 exports 21 dependencies

Last updated from:43ffc4e93f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK156
source / vignettesOK251
linux-releaseOK126
macos-releaseOK153
macos-oldrelOK133
windows-develOK87
windows-releaseOK81
windows-oldrelOK79
wasm-releaseOK119

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.tabledplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr