Using R for Statistical Data Analysis (online)

In this learning-by-doing course, doctoral candidates will receive an introduction on how to use R for statistical data analysis.

Topics:

• introduction to R and the RStudio IDE
• import/export data
• data management using dplyr
• visualisation using ggplot2
• basic statistical analyses in R
• introduction to regression analysis in R

In addition the course will show how to do reproducible research by using R. Therefore, we will use the knitr (https://yihui.name/knitr/) and rmarkdown (https://rmarkdown.rstudio.com/) package.

Requirements:

The course requires that everyone already has some very basic R knowledge, i.e. knowledge about object types like vectors, data frames and lists. One can gain such basic knowledge with the interactive tutorial https://rstudio.cloud/learn/primers/1.2. In addition, you have to be able to install R packages.

Please make sure that you have installed R, RStudio (see https://www.rstudio.com/) and the tidyverse package (see https://www.tidyverse.org/) prior to the course.

This course will be conducted online.

Technical requirements: Access to internet, laptop, camera, microphone, zoom (potentially).

Your email address will be forwarded to the trainer for organizational reasons.