My PhD supervisor once told me that everyone doing newspaper
analysis starts by writing code to read in files from the 'LexisNexis' newspaper
archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner
sites). However, while this is a nice exercise I do recommend, not everyone has
the time. This package takes TXT files downloaded from the newspaper archive of
'LexisNexis', reads them into R and offers functions for further processing.
corpustools, covr, diffobj, dplyr, RSQLite, testthat,
tidytext, tm, kableExtra, knitr, rmarkdown

corpustools, covr, diffobj, dplyr, RSQLite, testthat,
tidytext, tm, kableExtra, knitr, rmarkdown, spelling

corpustools, covr, diffobj, dplyr, RSQLite, testthat,
tidytext, tm, kableExtra, knitr, pdftools, rmarkdown, spelling,
striprtf

corpustools, covr, diffobj, dplyr, RSQLite, testthat,
tidytext, tm, kableExtra, knitr, pdftools, rmarkdown, spelling,
striprtf, xml2

My PhD supervisor once told me that everyone doing newspaper
analysis starts by writing code to read in files from the 'LexisNexis' newspaper
archive (retrieved e.g., from <http://www.nexis.com/> or any of the partner
sites). However, while this is a nice exercise I do recommend, not everyone has
the time. This package takes files downloaded from the newspaper archive of
'LexisNexis', reads them into R and offers functions for further processing.

person("Johannes", "Gruber", email = "Gruber@europa-uni.de",
role = c("aut", "cre"))

person("Johannes", "Gruber", email = "JohannesB.Gruber@gmail.com",
role = c("aut", "cre"))
My PhD supervisor once told me that everyone doing newspaper
analysis starts by writing code to read in files from the 'LexisNexis' newspaper
archive (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner
sites). However, while this is a nice exercise I do recommend, not everyone has
the time. This package takes files downloaded from the newspaper archive of
'LexisNexis', reads them into R and offers functions for further processing.

Plot Lexis Diagrams for Demographic Purposes
c(person("Philipp", "Ottolinger", , "philipp@ottolinger.de", role=c("aut","cre")),
person("Marieke", "Smilde-Becker", role="ctb"))
Philipp Ottolinger [aut, cre], Marieke Smilde-Becker [ctb]
Functions to plot Lexis Diagrams for Demographic purposes.