Introduction to R (International Institute for Population Sciences 2021)

Christian Dudel (dudel@demogr.mpg.de)

Software

In this course, we will use two programs:

• R https://cloud.r-project.org/
• RStudio https://rstudio.com/products/rstudio/

First install R, then install RStudio.

Helpful resources

Free books:

• Wickham, Grolemund: R for Data Science. https://r4ds.had.co.nz/
• Healy: Data Visualization. https://socviz.co/
• Lovelace, Nowosad, Muenchow: Geocomputation with R. https://geocompr.robinlovelace.net/
• Hernan, Robins: Causal Inference. https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/
• Hastie, Tibshirani, Friedman: Elements of Statistical Learning. https://web.stanford.edu/~hastie/ElemStatLearn/

Websites:

• https://stackexchange.com/
• https://www.r-bloggers.com/
• https://colorbrewer2.org

Journals:

• Journal of Statistical Software https://www.jstatsoft.org/index * R Journal https://journal.r-project.org/
• Journal of Open Source Software https://joss.theoj.org/