Convert statistical analysis objects from R into tidy data frames, so that they can more easily be combined, reshaped and otherwise processed with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three S3 generics: tidy, which summarizes a model's statistical findings such as coefficients of a regression; augment, which adds columns to the original data such as predictions, residuals and cluster assignments; and glance, which provides a one-row summary of model-level statistics.

Maintainer: David Robinson <admiral.david at gmail.com>

Author(s): David Robinson*, Matthieu Gomez*, Boris Demeshev*, Dieter Menne*, Benjamin Nutter*, Luke Johnston*, Ben Bolker*, Francois Briatte*, Jeffrey Arnold*, Jonah Gabry*, Luciano Selzer*, Gavin Simpson*, Jens Preussner*, Jay Hesselberth*, Hadley Wickham*

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

install.packages("broom")


Package broom
Materials
URL http://github.com/tidyverse/broom
Task Views
Version 0.4.2
Published 2017-02-13
License MIT + file LICENSE
BugReports http://github.com/tidyverse/broom/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks broom check results
Package source broom_0.4.2.tar.gz