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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.

Version: 0.9.4
Depends: R (≥ 3.1.2)
Imports: broom, checkmate (≥ 1.8.0), htmltools, knitr, labelVector, magrittr, reshape2, scales
Suggests: dplyr, rmarkdown, testthat
Published: 2023-10-10
Author: Benjamin Nutter [aut, cre], David Kretch [ctb]
Maintainer: Benjamin Nutter <benjamin.nutter at gmail.com>
BugReports: https://github.com/nutterb/pixiedust/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/nutterb/pixiedust
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pixiedust results

Documentation:

Reference manual: pixiedust.pdf
Vignettes: Advanced Magic with pixiedust
Creating Magic with pixiedust
Sprinkles

Downloads:

Package source: pixiedust_0.9.4.tar.gz
Windows binaries: r-devel: pixiedust_0.9.4.zip, r-release: pixiedust_0.9.4.zip, r-oldrel: pixiedust_0.9.4.zip
macOS binaries: r-release (arm64): pixiedust_0.9.4.tgz, r-oldrel (arm64): pixiedust_0.9.4.tgz, r-release (x86_64): pixiedust_0.9.4.tgz, r-oldrel (x86_64): pixiedust_0.9.4.tgz
Old sources: pixiedust archive

Reverse dependencies:

Reverse suggests: goldfish

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pixiedust to link to this page.

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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