Cheatsheets & Guides
Here you can find compact reference cards (cheatsheets) and guides for the most important tools and concepts used in our courses.
R Programming
Basic R Functions
Overview of fundamental R functions: data types, operators, indexing, vectors, matrices, and data frames.
Advanced Programming in R
Advanced programming concepts: control structures, functions, apply family, regular expressions, and error handling.
Basic Statistics with R
Fundamental statistical methods in R: descriptive statistics, distributions, hypothesis tests, and linear models.
Handling Special Data Types in R
Working with special data types: date/time, factors, strings, and missing values.
Visualisation
Flowchart: Diagram Types & geom Functions
Decision tree for choosing the right diagram type – with the corresponding ggplot2 geom functions (in German).
R Colors
Overview of all available R colour names and palettes – useful for creating appealing visualisations.
Spreadsheets
LibreOffice Calc Handbook
Introduction to spreadsheet work with LibreOffice Calc (in German).
Calc Shortcuts (German)
Keyboard shortcuts for efficient work in LibreOffice Calc.
Statistics
Flowchart: Choosing the correct statistical test
Decision tree for selecting the appropriate statistical test based on the research question, data type or measurement scale, number of variables and groups, and distribution (in German).
More Cheatsheets
The Posit Cheatsheets page offers a large collection of official cheatsheets for R packages such as ggplot2, dplyr, tidyr, RMarkdown, Shiny, and many more.