Introduction to R

Data analysis with R

R is a language and environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques, and is highly extensible. The language is very popular among academic scientists and researchers. R has a reputation of being hard to learn, maybe due to the fact that it lacks a Graphical User Interface (GUI). This introduction to R will give a starting point for people newly interested in R. It emphasizes on the understanding of how R works, aiming at a beginner's level, rather than at expert use.

Course contents

• Introduction to R and RStudio
• Reading, transforming and selecting data
• Data Visualization
• Analyzing data (performing statistical tests)

Course format

Presentation of theory, demonstrations, self study and hands-on practice.

Aim

Learn how to work with R to easily enter and transform data and how to analyze your data.

Prerequisites

Experience with Windows.
Knowledge of basic statistical techniques is required: descriptive statistics, exploring relationships among variables (correlation, regression) and comparing groups (student t-test, crosstabs and Chi-square). No statistics education will be given during the course.