3.1 R Resources and Help
Very large user community for R. Google search for “Some topic R” usually leads quickly to the desired help. Here are the links to a few online tutorials
Two online resources will provide you the solution to the vast majority of your R questions. Getting on those websites is usually the result of a Google search.
- Statistical Data Analysis R: This resource contains the function manual for R/RStudio including all packages. Example for a function boxplot. The most helpful part are the examples at the bottom of the page.
- Stack Overflow: Resources for developers. For example, a Google search for “r ggplot two y axis” may give you the following result. Note that all questions on Stack Overflow have to be accompanied by a re-creatable dataset.
There are also many R books on GitHub:
- Principles of Econometrics with R
- Introduction to Econometrics with R
- Geocomputation with R
- Introduction to Data Science
- Forecasting: Principles and Practice
Besides many online resources, there are also two useful textbooks:
- Applied Econometrics with R by Christian Kleiber and Achim Zeileis
- Introductory Statistics with R by Peter Dalgaard
- An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
An additional online tutorial is Using R for Introductory Statistics by John Verzani. If you prefer a video, the following Introduction to R and RStudio has been proven useful for people learning R/RStudio.