The main janitor functions can: perfectly format data.frame column
names; provide quick counts of variable combinations (i.e., frequency
tables and crosstabs); and isolate duplicate records. Other janitor functions
nicely format the tabulation results. 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: |
2.1.0 |
Depends: |
R (≥ 3.1.2) |
Imports: |
dplyr (≥ 1.0.0), lifecycle, lubridate, magrittr, purrr, rlang, stringi, stringr, snakecase (≥ 0.9.2), tidyselect (≥
1.0.0), tidyr (≥ 0.7.0) |
Suggests: |
knitr, rmarkdown, sf, testthat, tibble, tidygraph |
Published: |
2021-01-05 |
Author: |
Sam Firke [aut, cre],
Bill Denney [ctb],
Chris Haid [ctb],
Ryan Knight [ctb],
Malte Grosser [ctb],
Jonathan Zadra [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 |