janitor: Simple Tools for Examining and Cleaning Dirty Data

The main janitor functions can: perfectly format data.frame column names; isolate duplicate records; and provide quick one- and two-variable tabulations (i.e., frequency tables and crosstabs). Other janitor functions nicely format the results of these tabulations. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.

Version: 0.2.1
Depends: R (≥ 3.1.2)
Imports: dplyr (≥ 0.5.0), tidyr
Suggests: testthat, knitr, rmarkdown
Published: 2016-10-31
Author: Sam Firke [aut, cre], Chris Haid [ctb]
Maintainer: Sam Firke <samuel.firke at gmail.com>
BugReports: https://github.com/sfirke/janitor/issues
License: MIT + file LICENSE
URL: https://github.com/sfirke/janitor
NeedsCompilation: no
Materials: README NEWS
CRAN checks: janitor results

Downloads:

Reference manual: janitor.pdf
Vignettes: Introduction
Package source: janitor_0.2.1.tar.gz
Windows binaries: r-devel: janitor_0.2.1.zip, r-release: janitor_0.2.1.zip, r-oldrel: janitor_0.2.1.zip
OS X Mavericks binaries: r-release: janitor_0.2.1.tgz, r-oldrel: janitor_0.2.1.tgz
Old sources: janitor archive

Linking:

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