16 Further reading

There is a huge volume of literature on R, text analysis and newspaper digitisation. This is a small collection of recommended reading.

A useful list of coding resources: https://scottbot.net/teaching-yourself-to-code-in-dh/

A book on R specifically for digital humanities: http://dh-r.lincolnmullen.com

Geocomputation with R - a fantastic introduction to advanced mapping and spatial analysis. https://bookdown.org/robinlovelace/geocompr/

Use R to write blog posts: https://bookdown.org/yihui/blogdown/

R-Studio cheatsheets, which are really useful to print out and keep while you’re coding, particularly at the beginning: https://rstudio.com/resources/cheatsheets/

Text mining with R - lots of the examples in this book are based on lessons from here: https://www.tidytextmining.com

The best introduction to R and the Tidyverse: https://r4ds.had.co.nz

A recent report on newspaper digitisation and metadata standards: https://melissaterras.files.wordpress.com/2020/01/selectioncriterianewspapers_hauswedell_nyhan_beals_terras_bell-3.pdf