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volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

Craft polished tables and plots in Markdown reports. Simply choose whether to treat your data as counts or metrics, and the package will automatically generate well-designed default tables and plots for you. Boiled down to the basics, with labeling features and simple interactive reports. All functions are 'tidyverse' compatible.

Version: 2.0.1
Depends: R (≥ 4.2)
Imports: stats, rlang, lifecycle, tibble, dplyr, tidyr, tidyselect, ggplot2 (≥ 2.2.1), scales, base64enc, purrr, magrittr, skimr, broom, knitr, kableExtra, rmarkdown, psych, effectsize, car
Suggests: tidyverse, remotes, usethis, testthat (≥ 3.0.0)
Published: 2024-05-11
Author: Jakob Jünger ORCID iD [aut, cre, cph], Henrieke Kotthoff [aut, ctb], Chantal Gärtner ORCID iD [ctb]
Maintainer: Jakob Jünger <jakob.juenger at uni-muenster.de>
BugReports: https://github.com/strohne/volker/issues
License: MIT + file LICENSE
URL: https://github.com/strohne/volker
NeedsCompilation: no
Materials: README NEWS
CRAN checks: volker results

Documentation:

Reference manual: volker.pdf
Vignettes: Introduction

Downloads:

Package source: volker_2.0.1.tar.gz
Windows binaries: r-devel: volker_2.0.1.zip, r-release: volker_2.0.0.zip, r-oldrel: volker_2.0.1.zip
macOS binaries: r-release (arm64): volker_2.0.1.tgz, r-oldrel (arm64): volker_2.0.1.tgz, r-release (x86_64): volker_2.0.1.tgz, r-oldrel (x86_64): volker_2.0.1.tgz
Old sources: volker archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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