Package: janitor
Title: Simple Tools for Examining and Cleaning Dirty Data
Version: 1.0.0
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 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.
URL: https://github.com/sfirke/janitor
BugReports: https://github.com/sfirke/janitor/issues
Depends: R (>= 3.1.2)
Imports: dplyr (>= 0.7.0), tidyr (>= 0.7.0), snakecase (>= 0.9.0),
        magrittr, purrr, rlang
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-03-22 12:55:11 UTC; SFirke
Author: Sam Firke [aut, cre],
  Chris Haid [ctb],
  Ryan Knight [ctb]
Maintainer: Sam Firke <samuel.firke@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-22 20:59:45 UTC
Built: R 3.4.1; ; 2018-04-03 14:21:36 UTC; windows
