This repository is a collection of materials for R courses at Bielefeld University. Get access via executing the following lines in R:

install.packages("remotes")
remotes::install_github("loelschlaeger/rcourse")
library("rcourse")

If this fails and you are on Windows, you can try:

url <- "https://github.com/loelschlaeger/rcourse/raw/master/rcourse.zip"
destfile <- "rcourse.zip"
download.file(url, destfile)
install.packages(destfile)
install.packages(c("cli", "learnr", "utils"))
library("rcourse")

Current topics are:

	Description	id
Good Practices	What are good practices in R to follow?	1
Data Manipulation	How to apply the {dplyr} package for data preparation?	2
Data Visualization	How to visualize data with the {ggplot2} package?	3

To select a course, run:

select()

To open the course slides, run:

slides()

To start the course exercises, run:

practicals()

Sources:

• Wickham and Grolemund (2020): R for Data Science
• Healy (2019): Data Visualization: A practical introduction
• Wickham (2016): ggplot2: elegant graphics for data analysis
• Wilkinson (2005): The Grammar of Graphics
• Tufte (1983): The Visual Display of Quantitative Information