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 deviations (differences from totals, comparisons between lines or columns, contributions to variance, odds ratios, etc.) and significance (confidence intervals, stars, etc.). Create the same kind of tables for regression models, with a framework to compare model effects with their crude/observed counterpart systematically. All functions render data frames which can be easily manipulated. All tables can be exported with formats and colors to 'Excel', html and markdown.

Version:	2.0.0
Depends:	R (≥ 4.1.0)
Imports:	dplyr (≥ 1.0.3), forcats (≥ 0.5.0), purrr (≥ 0.3.0), rlang (≥ 1.0.0), tibble (≥ 3.1.0), tidyr (≥ 1.1.0), vctrs (≥ 0.3.0), cli (≥ 2.0.0), tidyselect (≥ 1.2.0), pillar (≥ 1.6.0), stats (≥ 4.0.0), utils, lifecycle (≥ 1.0.0), data.table, grid, survey (≥ 3.0.0), nnet (≥ 7.3.0), MASS (≥ 7.3.0)
Suggests:	fansi (≥ 0.5.0), htmltools (≥ 0.5.0), jmvcore (≥ 2.4.0), knitr, mirai (≥ 2.5.0), openxlsx2 (≥ 1.0.0), pkgload (≥ 1.3.0), parallelly (≥ 1.32.0), R6, RhpcBLASctl, ggplot2 (≥ 3.5.0), rmarkdown, rstudioapi (≥ 0.1), testthat (≥ 3.0.0), brant (≥ 0.3.0), svyVGAM (≥ 1.2), VGAM (≥ 1.1.0), marginaleffects (≥ 0.20.0), withr (≥ 3.0.0), yaml, gridExtra (≥ 2.3.0), clipr
Published:	2026-08-29
DOI:	10.32614/CRAN.package.tabxplor
Author:	Brice Nocenti [aut, cre]
Maintainer:	Brice Nocenti <brice.nocenti at protonmail.com>
BugReports:	https://github.com/BriceNocenti/tabxplor/issues
License:	GPL (≥ 3)
URL:	https://github.com/BriceNocenti/tabxplor, https://bricenocenti.github.io/tabxplor/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	tabxplor results

Documentation:

Reference manual:	tabxplor.html , tabxplor.pdf
Vignettes:	Programming with tabxplor (source, R code) Reading a regression model without losing sight of the observed data (source, R code) Regression models with tab_reg(): reference (source, R code) Weighted and survey data (source, R code) Introduction to tabxplor: crosstables with tab() (source, R code)

Downloads:

Package source:	tabxplor_2.0.0.tar.gz
Windows binaries:	r-devel: tabxplor_1.3.1.zip, r-release: tabxplor_2.0.0.zip, r-oldrel: tabxplor_2.0.0.zip
macOS binaries:	r-release (arm64): tabxplor_2.0.0.tgz, r-oldrel (arm64): tabxplor_2.0.0.tgz, r-release (x86_64): tabxplor_2.0.0.tgz, r-oldrel (x86_64): tabxplor_2.0.0.tgz
Old sources:	tabxplor archive

Reverse dependencies:

Reverse imports:

ggfacto

Linking:

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