Statistics in R
February 20-24, 2023
Course description and learning outcomes:
The goal of the workshop is to convey the ability to write small R scripts, that read-in common data formats (excel, csv and txt), extract information from the data, performs a statistical analysis and displays the data in ready-to-publish figures and saves them as pdf or jpg.
Along those lines, we are going to learn how to
- avoid loops and rearrange tables using the tools from the apply family,
- install and load packages (mainly from the "tidyverse")
- work with the R help function and the "cheat sheets"
We are going to work with real-life data sets and discuss basic statistical tools (t-test, ANOVA, p-value distribution, error estimation).
The course aims on beginners and no prior programming experience is required.
Themes to discuss:
- introduction, classes and objects
- data handling, loading/installing packages
- excel files and pdfs
- simple plots
- running and writing an R script
- logical indexing, the apply family
- ggplot2, cow plot, heatmaps
- χ^2, R^2, z-test and t-test
- non-parametric tests (KS, Wilkocxon)
- p-value corrections and distributions
About the trainer
Markus Hohle obtained his PhD in physics (Jena and Garching), and is a lecturer at the LMU Gene Center since 2013.
The workshop will be awarded with 1.5 ECTS.