tabxplor: User-Friendly Tables with Color Helpers for Data Exploration

Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight important informations (differences from totals, comparisons between lines or columns, contributions to variance, confidence intervals, odds ratios, etc.). All functions are pipe-friendly and render data frames which can be easily manipulated. In the same time, time-taking operations are done with 'data.table' to go faster with big dataframes. Tables can be exported with formats and colors to 'Excel', plot and html.

Version:	1.2.1
Imports:	dplyr (≥ 1.0.3), stringr (≥ 1.4.0), crayon (≥ 1.3.0), forcats (≥ 0.5.0), magrittr (≥ 1.5.0), purrr (≥ 0.3.0), rlang (≥ 0.4.0), tibble (≥ 3.1.0), tidyr (≥ 1.1.0), vctrs (≥ 0.3.0), cli (≥ 2.0.0), tidyselect (≥ 1.0.0), stringi (≥ 1.4.6), pillar (≥ 1.6.0), stats (≥ 4.0.0), kableExtra (≥ 1.3.0), DescTools (≥ 0.99.0), data.table
Suggests:	fansi (≥ 0.5.0), htmltools (≥ 0.5.0), jmvcore (≥ 2.4.0), knitr, openxlsx (≥ 4.0.0), R6, ggpubr (≥ 0.6.0), ggplot2 (≥ 3.4.0), cowplot (≥ 1.1.1), gtable, grDevices, grid, rmarkdown, rstudioapi (≥ 0.1), testthat (≥ 3.0.0)
Published:	2024-10-04
DOI:	10.32614/CRAN.package.tabxplor
Author:	Brice Nocenti [aut, cre]
Maintainer:	Brice Nocenti <brice.nocenti at gmail.com>
BugReports:	https://github.com/BriceNocenti/tabxplor/issues
License:	GPL (≥ 3)
URL:	https://github.com/BriceNocenti/tabxplor
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	tabxplor results

Documentation:

Reference manual:	tabxplor.pdf
Vignettes:	Introduction to tabxplor (source, R code)

Downloads:

Package source:	tabxplor_1.2.1.tar.gz
Windows binaries:	r-devel: tabxplor_1.2.1.zip, r-release: tabxplor_1.2.1.zip, r-oldrel: tabxplor_1.2.1.zip
macOS binaries:	r-release (arm64): tabxplor_1.2.1.tgz, r-oldrel (arm64): tabxplor_1.2.1.tgz, r-release (x86_64): tabxplor_1.2.1.tgz, r-oldrel (x86_64): tabxplor_1.2.1.tgz
Old sources:	tabxplor archive

Reverse dependencies:

Reverse imports:

ggfacto

Linking:

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