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: 0.9.6 Depends: R (≥ 3.2.0) 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, shinytest, lme4, rmarkdown, rstudioapi (≥ 0.5), shiny (≥ 0.13), miniUI (≥ 0.1.1), roxygen2, rio, psych, ufs, rosetta, GGally Published: 2025-01-08 DOI: 10.32614/CRAN.package.codebook 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://rubenarslan.github.io/codebook/, https://github.com/rubenarslan/codebook NeedsCompilation: no Language: en-GB Citation: codebook citation info Materials: README NEWS In views: ReproducibleResearch CRAN checks: codebook results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=codebook to link to this page.
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