broom: Convert Statistical Analysis Objects into Tidy Data Frames

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.

Version: 0.4.1
Imports: plyr, dplyr, tidyr, psych, stringr, reshape2, nlme, methods
Suggests: knitr, boot, survival, gam, glmnet, lfe, Lahman, MASS, sp, maps, maptools, multcomp, testthat, lme4, zoo, lmtest, plm, biglm, ggplot2, nnet, geepack, AUC, ergm, network, statnet.common, xergm, btergm, binGroup, Hmisc, bbmle, gamlss, rstan, rstanarm, coda, gmm, Matrix, ks, purrr, orcutt, mgcv, lmodel2, poLCA, mclust, covr
Published: 2016-06-24
Author: David Robinson [aut, cre], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb]
Maintainer: David Robinson <admiral.david at gmail.com>
BugReports: http://github.com/dgrtwo/broom/issues
License: MIT + file LICENSE
URL: http://github.com/dgrtwo/broom
NeedsCompilation: no
Materials: README
CRAN checks: broom results

Downloads:

Reference manual: broom.pdf
Vignettes: Tidy bootstrapping with dplyr+broom
Introduction to broom
broom and dplyr
kmeans with dplyr+broom
Package source: broom_0.4.1.tar.gz
Windows binaries: r-devel: broom_0.4.1.zip, r-release: broom_0.4.1.zip, r-oldrel: broom_0.4.1.zip
OS X Mavericks binaries: r-release: broom_0.4.1.tgz, r-oldrel: broom_0.4.1.tgz
Old sources: broom archive

Reverse dependencies:

Reverse imports: AutoModel, cdom, DeLorean, dotwhisker, eyetrackingR, forestmodel, ggpmisc, highcharter, jpmesh, mason, merTools, modelr, nlstimedist, pixiedust, radiant.data, sjmisc, sjPlot, StroupGLMM, tadaatoolbox, tidytext, tidyverse, TSS.RESTREND, valr, vdmR
Reverse suggests: eechidna, GGally, ggsn, lucid, macleish, plotly, spbabel

Linking:

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