codebook: Automatic Codebooks from Metadata Encoded in Dataset Attributes

Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. 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.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.

Version: 0.8.1
Depends: R (≥ 3.0.1)
Imports: stats, methods, graphics, utils, rmarkdown, ggplot2 (≥ 2.0.0), stringr, psych, likert, knitr, rlang, dplyr, tidyr, pander, skimr (≥ 1.0.2), DT, jsonlite, future, haven (≥ 2.0.0), tibble, purrr, htmltools, labeling, labelled, rio, shiny (≥ 0.13), miniUI (≥ 0.1.1), rstudioapi (≥ 0.5), glue, lubridate, userfriendlyscience
Suggests: testthat, shinytest, lme4, roxygen2
Published: 2019-05-21
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
Language: en_GB
Citation: codebook citation info
Materials: README NEWS
CRAN checks: codebook results

Downloads:

Reference manual: codebook.pdf
Vignettes: Using formr.org data and metadata
Qualtrics data and metadata
SPSS dataset with metadata
Tutorial
Package source: codebook_0.8.1.tar.gz
Windows binaries: r-devel: codebook_0.8.1.zip, r-devel-gcc8: codebook_0.8.1.zip, r-release: codebook_0.8.1.zip, r-oldrel: codebook_0.8.1.zip
OS X binaries: r-release: codebook_0.8.1.tgz, r-oldrel: codebook_0.8.1.tgz
Old sources: codebook archive

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