Winter Course: Introduction to R

About

This workshop will introduce participants to the R statistical programming language. R is a completely free and open-source programming language and environment for statistical analysis. In this workshop, participants will learn the fundamentals of programmatic data analysis in R. We will focus on data manipulation and data visualization, rather than any specific type of statistical modeling or testing. Workshop participants will practice what they learn via practical exercises.

All content will be presented via live demonstrations of R programming and interactive R analyses. Workshop participants will practice on-the-fly by following along with the demonstration scripts and completing in-situ practical exercises. If the schedule permits, the participants are also welcome to ask the instructor for advice on how to incorporate R into their own data analyses.

Participants should install both R and RStudio (the free desktop version) on their computers before the beginning of the course.

No prior experience with R or programming are required

Course leader

Kyle Lang

Target group

Professionals seeking a master-level introduction to R programming

For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here

Course aim

After completing this course, students can:

Describe what R is, how it differs from other statistical analysis software, and how it differs from other programming languages
Describe common R data types and discuss their strengths and weaknesses
Write simple R scripts to do the following tasks:
Read external data into R and write out data/results in various formats
Calculate summary statistics
Programmatically manipulate data objects
Generate simple graphical visualisations of data/models
Conduct simple statistical analyses (e.g., t-test, correlation, ANOVA, regression)

Fee info