Package: janitor | |
Title: Simple Tools for Examining and Cleaning Dirty Data | |
Version: 0.3.0.9000 | |
Authors@R: c(person("Sam", "Firke", email = "samuel.firke@gmail.com", role = c("aut", "cre")), | |
person("Chris", "Haid", email = "chrishaid@gmail.com", role = "ctb"), | |
person("Ryan", "Knight", email = "ryangknight@gmail.com", role = "ctb")) | |
Description: The main janitor functions can: perfectly format data.frame column | |
names; provide quick one- and two-variable tabulations (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. | |
URL: https://github.com/sfirke/janitor | |
BugReports: https://github.com/sfirke/janitor/issues | |
Depends: | |
R (>= 3.1.2) | |
Imports: | |
dplyr (>= 0.7.0), | |
tidyr, | |
magrittr, | |
purrr, | |
rlang | |
License: MIT + file LICENSE | |
LazyData: true | |
RoxygenNote: 6.0.1 | |
Suggests: | |
testthat, | |
knitr, | |
rmarkdown | |
VignetteBuilder: knitr |
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