This page collects the links to the four parts of my tutorial (short course) 'R for Data Analysis'. The four parts cover the fundamentals of as a programming language, working with data (data wrangling), data analysis (statistical models) and data visualziation. I have delivered the tutorial several times to different groups of PhD students in the social sciences in a format of 4 x 3h sessions .
All the slides are freely available , but (presumably) they make more sense in the context of the tutorial, when coupled with practical exercises and discussions.
The slides were made in Rmarkdown with the xaringan and xaringanextra packages. The code for the presentation is available at Github.
