Quick introduction to data analysis with R
The aim of this lecture is to give a very short overview on how to do data analysis with R. It does not replace our in-depth courses such as R as a programming language and Basic statistics with R.
Instructor: András Aszódi.
Target audience
This lecture is presented only to new PhD students at the VBC. We regret that other colleagues may not register to this lecture.
Topics
- Introduction to R and RStudio
- How to load a data set and get an overview using scatter plots
- How to perform a simple linear regression
- How to perform K-means clustering
- How to compare group means using "Student"'s t-test
Prerequisites
This lecture has no prerequisites.
Practical information
Length: The course takes about two hours.