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

Important: Please install R and RStudio (https://www.rstudio.com/) before the course starts.

This course will be conducted online via Zoom. Please make sure that you are able to use Zoom in advance.
Technical requirements: Access to internet, laptop, camera, microphone, ability to share your screen with the trainer.
Your email address will be forwarded to the trainer for organizational reasons.