# 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.