Easily automate the following tasks to describe data frames: computing reliabilities (internal consistencies, retest, multilevel) for psychological scales, summarise the distributions of scales and items graphically and using descriptive statistics, combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.).
Version: | 0.5.8 |
Depends: | R (≥ 3.0.1) |
Imports: | stats, methods, graphics, utils, rmarkdown, ggplot2, stringr, psych, likert, knitr, rlang, dplyr, tidyr, pander, skimr, DT, future, haven, readr, mice, tibble, purrr |
Suggests: | testthat, lme4, roxygen2 |
Published: | 2018-03-21 |
Author: | Ruben Arslan [aut, cre] |
Maintainer: | Ruben Arslan <ruben.arslan at gmail.com> |
BugReports: | https://github.com/rubenarslan/codebook/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/rubenarslan/codebook |
NeedsCompilation: | no |
Citation: | codebook citation info |
Materials: | README NEWS |
CRAN checks: | codebook results |
Reference manual: | codebook.pdf |
Vignettes: |
Codebook example formr |
Package source: | codebook_0.5.8.tar.gz |
Windows binaries: | r-devel: codebook_0.5.8.zip, r-release: codebook_0.5.8.zip, r-oldrel: codebook_0.5.8.zip |
OS X binaries: | r-release: codebook_0.5.8.tgz, r-oldrel: codebook_0.5.8.tgz |
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