Links
R
R Software
R Introduction, help, …
- CRAN’s introduction to R
- CRAN task view: Econometrics: An annotated list of relevant packages
- Quick-R: Quick and useful introduction to R including examples
- RStudio Cheat Sheets: Useful, especially for more advanced topics
- R-bloggers: central hub (e.g: A blog aggregator) of content collected from bloggers who write about R
- Planet R: Site aggregator, all the latest news around R
- Cookbook for R: Useful examples for all kinds of R problems
- RSeek: Search engine for R topics
- Graphical Apps for Statistics and Probability (GrASP): Interactive tools to learn about R and basic statistics/probability (currently only in German)
- The R Journal
- The Journal of Statistical Software
- Cross Validated: A discussion forum on statistics and data analysis with an active R community
- Stack Overflow: A discussion forum on programming with an active R community
- There are countless other websites, videos, and other material available online. Use your favorite search engine to locate them.
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
Python Software
Other Python Resources
- python.org/3/tutorial: The official Python Tutorial
- python.org/moin/BeginnersGuide: Additional links to external resources like tutorials and books
- pypi.org: The links to module documentations available at the Python Package Index
- quantecon.org: Quantitative economic modeling with Python
- Stack Overflow: A general discussion forum for programmers, including many Python users
- Cross Validated: Discussion forum on statistics and data analysis with an active Python community
Julia
julialang.org: There are many useful resources (books, tutorials etc.) helping to learn and use Julia
quantecon.org: Quantitative economic modeling with Julia
juliadatascience.io: A digital version of the book “Julia Data Science” by Storopoli, Huijzer, and Alonso (2021)