Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Summarise the distributions, and labelled missings of variables graphically
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
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.
pander, skimr (>= 1.0.2), DT, jsonlite, future, haven (>=
2.0.0), tibble, purrr, htmltools, labeling, labelled, rio,
Packaged: 2019-02-21 13:57:40 UTC; rubenarslan

Packaged: 2019-05-21 12:28:22 UTC; rubenarslan

Package: codebook
Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description: 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: 0.8.2
Authors@R: person("Ruben", "Arslan", email = "ruben.arslan@gmail.com", role = c("aut", "cre"))
Depends: R (>= 3.0.1)
Language: en_GB
URL: https://github.com/rubenarslan/codebook
BugReports: https://github.com/rubenarslan/codebook/issues
License: MIT + file LICENSE
Imports: stats, methods, graphics, utils, rmarkdown, forcats (>=
0.4.0), ggplot2 (>= 2.0.0), stringr, psych, likert, knitr,
rlang, dplyr, tidyr, tidyselect, pander, skimr (>= 2.0.0), 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, renv, webshot
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-08 13:25:10 UTC; rubenarslan
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-09 16:20:07 UTC