Automatic Codebooks from Metadata Encoded in Dataset Attributes R package codebook version 0.10.1 CRAN Task View: ReproducibleResearch (https://CRAN.R-project.org/view=ReproducibleResearch) 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. Software Depends: R (>= 3.5.0) Imports: stats, methods, graphics, utils, rmdpartials, forcats (>= 0.4.0), vctrs (>= 0.3.0), ggplot2 (>= 2.0.0), stringr, rlang, dplyr (>= 1.0.0), tidyr, jsonlite, haven (>= 2.3.0), purrr, tibble, glue, likert, knitr, skimr (>= 2.1.0), htmltools, labeling, labelled, future Suggests: testthat, DT (>= 0.33), lme4, rmarkdown, rstudioapi (>= 0.5), shiny (>= 1.8.1), miniUI (>= 0.1.1), roxygen2, rio, psych Ruben Arslan <ruben.arslan@gmail.com> Comprehensive R Archive Network (CRAN) Ruben Arslan [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=codebook/LICENSE) 2026-03-03 application/tgz https://CRAN.R-project.org/package=codebook doi:10.32614/CRAN.package.codebook en-GB