Topics include importing data into R, basic data manipulations and clean-up, graphing methods, and statistical analyses such as descriptive statistics, t-tests, chi-square, ANOVA, and regression.
The course will use the RStudio interface for R and introduce you to using RMarkdown to enhance analysis replicability and documentation. It will focus on the programming language and assume you are already familiar with basic statistical methods.
Note: Attendees should bring their own laptops loaded with R and RStudio to class each day.
Recommended Audience: This is best suited to program evaluators with at least some prior data analysis experience using software other than R, such as SPSS.