Authors@R: person("Julia", "Silge", email = "julia.silge@gmail.com", role = c("aut", "cre"))
Description: Full texts for Jane Austen's 6 completed novels, ready for text
analysis. These novels are "Sense and Sensibility", "Pride and Prejudice",
"Mansfield Park", "Emma", "Northanger Abbey", and "Persuasion".
Packaged: 2016-04-14 15:37:36 UTC; juliasilge

Packaged: 2016-06-20 18:45:11 UTC; juliasilge

Packaged: 2016-09-17 14:10:52 UTC; juliasilge

Packaged: 2016-10-23 02:15:36 UTC; juliasilge

Packaged: 2016-10-26 13:06:59 UTC; juliasilge

Packaged: 2017-06-09 16:56:07 UTC; juliasilge

person("Julia", "Silge", , "julia.silge@gmail.com", role = c("aut", "cre"),
Description: Full texts for Jane Austen's 6 completed novels, ready for
text analysis. These novels are "Sense and Sensibility", "Pride and
Prejudice", "Mansfield Park", "Emma", "Northanger Abbey", and
Packaged: 2022-08-26 22:14:26 UTC; juliasilge
Author: Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)

Title: Simple Tools for Examining and Cleaning Dirty Data
Authors@R: c(person("Sam", "Firke", email = "samuel.firke@gmail.com", role = c("aut", "cre")),
person("Chris", "Haid", email = "chrishaid@gmail.com", role = "ctb"))
Description: 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

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