R Software

  • R Project: The official R website with software, manuals, packages, FAQ, …
  • RStudio: A powerful and free integrated development environment (IDE) for R
  • Other Graphical user interfaces (GUIs):

R Introduction, help, …

Other great books on R

There are countless books on R for all sorts of readers and with different topics. Here are a few that I happened to look into and found usefull.

  • Econometrics with R
    • Applied Econometrics with R by Christian Kleiber and Achim Zeileis: The first book on econometrics with R. Concise treatment of the implementation of various econometric methods. Provides the package AER.
    • An R Companion to Applied Regression by John Fox and Sanford Weisberg: A comprehensive treatment of linear regression in R. Actually more with a sociology than an economics focus. Provides the package car.
  • Statistics with R
    • Introductory Statistics with R by Peter Dalgaard: Introduces R for introductory statistics classes with a focus on biostatistics.
    • Discovering Statistics Using R by Andy Field, Jeremy Miles, and Zoe Field: A comprehensive book introducing both statistical methods and their implementation in R with a focus on psychology and behavioral science.
    • Using R for Introductory Statistics by John Verzani: Self-contained introduction to fundamental statistics and R.
    • A Handbook of Statistical Analyses using R by Torsten Hothorn and Brian S. Everitt: Introduces R for fundamental and advanced statistical analyses.
  • General R and Programming
    • The R Book by Michael J. Crawley: The most comprehensive book on everything regarding R.
    • R in Action by Robert I. Kabacoff: Provides an introduction to R, many examples of analyses and discussions of advanced programming topics.
    • The Art of R Programming by Norman Matloff: Great book on programming R from the basics to advanced topics.
    • R Cookbook by Paul Teetor: Large collection of typical R problems and concise solutions.
    • Advanced R by Hadley Wickham: An invaluable source the the true R geek.
    • R Graphics Cookbook by Winston Chang: Collection of solutions for the creation of graphics with a focus on the ggplot2 package
  • There are whole book series on R by the publishers


Python Software

  • Python: The official website with software, manuals, FAQ, …
  • Anaconda: Our recommended Python distribution including many tools needed for data analysis

Other Python Resources


  • There are many useful resources (books, tutorials etc.) helping to learn and use Julia

  • Quantitative economic modeling with Julia

  • A digital version of the book “Julia Data Science” by Storopoli, Huijzer, and Alonso (2021)