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.

Maintainer: Benjamin Nutter <nutter at battelle.org>

Author(s): Benjamin Nutter*, David Kretch*

Install package and any missing dependencies by running this line in your R console:

install.packages("pixiedust")

Depends R (>= 3.1.2)
Imports broom, checkmate(>=1.8.0), dplyr, Hmisc(>=3.14-6), htmltools, knitr, magrittr, scales, stringr, tidyr
Suggests rmarkdown, testthat
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HydeNet, pointblank, tadaatoolbox
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Package pixiedust
Materials
URL https://github.com/nutterb/pixiedust
Task Views
Version 0.8.1
Published 2017-09-16
License MIT + file LICENSE
BugReports https://github.com/nutterb/pixiedust/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks pixiedust check results
Package source pixiedust_0.8.1.tar.gz