# Stat 33a: Introduction to Programming in R

UC Berkeley

## Overview

An introduction to the R statistical software for students with minimal prior experience with programming. This course prepares students for data analysis with R. The focus is on the computational model that underlies the R language with the goal of providing a foundation for coding. Topics include data types and structures, such as vectors, data frames and lists; the REPL evaluation model; function calls, argument matching, and environments; writing simple functions and control flow. Tools for reading, analyzing, and plotting data are covered, such as data input/output, reshaping data, the formula language, and graphics models.

## Logistics

One hour of lecture and one hour of laboratory per week. Two hours of lecture and three hours of laboratory per week for 6 weeks.