pixiedust: Tables so Beautifully Fine-Tuned You Will Believe It's Magic

The introduction of the 'broom' package has made converting model objects into data frames as simple as a single function. While the 'broom' package focuses on providing tidy data frames that can be used in advanced analysis, it deliberately stops short of providing functionality for reporting models in publication-ready tables. 'pixiedust' provides this functionality with a programming interface intended to be similar to 'ggplot2's system of layers with fine tuned control over each cell of the table. Options for output include printing to the console and to the common markdown formats (markdown, HTML, and LaTeX). With a little 'pixiedust' (and happy thoughts) tables can really fly.

Package details

AuthorBenjamin Nutter [aut, cre], David Kretch [ctb]
MaintainerBenjamin Nutter <benjamin.nutter@gmail.com>
LicenseGPL (>= 2)
Version0.9.4
URL https://github.com/nutterb/pixiedust
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pixiedust")

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pixiedust documentation built on Oct. 10, 2023, 9:07 a.m.