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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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