person("Julia", "Silge", email = "julia.silge@gmail.com", role = c("aut", "cre"))
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".

person("Julia", "Silge", , "julia.silge@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-3671-836X"))
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".
Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)

Simple Tools for Examining and Cleaning Dirty Data
c(person("Sam", "Firke", email = "samuel.firke@gmail.com", role = c("aut", "cre")),
person("Chris", "Haid", email = "chrishaid@gmail.com", role = "ctb"))
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
thinking for the fun stuff.

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 thinking for
the fun stuff.