Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Version: | 1.6.3 |
Depends: | R (≥ 2.10) |
Imports: | data.table, tibble, stringr |
Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown, covr, spelling |
Published: | 2020-11-29 |
Author: | Jacob Kaplan [aut, cre], Benjamin Schlegel [ctb] |
Maintainer: | Jacob Kaplan <jkkaplan6 at gmail.com> |
BugReports: | https://github.com/jacobkap/fastDummies/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/jacobkap/fastDummies, https://jacobkap.github.io/fastDummies/ |
NeedsCompilation: | no |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | fastDummies results |
Reference manual: | fastDummies.pdf |
Vignettes: |
Making dummy rows with dummy_rows() Making dummy variables with dummy_cols() |
Package source: | fastDummies_1.6.3.tar.gz |
Windows binaries: | r-devel: fastDummies_1.6.3.zip, r-release: fastDummies_1.6.3.zip, r-oldrel: fastDummies_1.6.3.zip |
macOS binaries: | r-release (arm64): fastDummies_1.6.3.tgz, r-oldrel (arm64): fastDummies_1.6.3.tgz, r-release (x86_64): fastDummies_1.6.3.tgz, r-oldrel (x86_64): fastDummies_1.6.3.tgz |
Old sources: | fastDummies archive |
Reverse imports: | BayesianFROC, bnpa, causalweight, conText, DCEtool, deepdive, DMCFB, drf, framecleaner, GenMarkov, gscaLCA, jenga, MplusAutomation, naive, NeuralSens, psyntur, scpi, segen, spooky, tetragon, tidyvpc |
Reverse suggests: | logitr, multifear, Statsomat |
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