Resources

You may find the following resources helpful (some links require you to have a university IP address):

• Humanities Data in R by Taylor Arnold and Lauren Tilton
  
• Text Mining with R: A Tidy Approach by Julia Silge and David Robinson
  
• Text Analysis with R for Students of Literature by Matthew Jockers (access from on campus or while connected by VPN)
  
• Digital History Methods in R by Lincoln Mullen
  
• The Programming Historian
  
• R for Data Science by Garrett Grolemund and Hadley Wickham
  
• Advanced R by Hadley Wickham
• Introduction to Text Analysis: A Coursebook by Brandon Walsh and Sarah Horowitz
  
• Six Septembers: Mathematics for the Humanist by Patrick Juola and Stephen Ramsay
  
• Text Mining for Humanists and Social Scientists in R by Andreas Niekler and Gregor Wiedemann