The aim of this workshop is to teach essential concepts and skills for conducting statistical analyses in R so that participants have the tools they need to work with and analyze their own datasets. This workshop is designed for people with little or no experience with programming or statistics. This is a three-part workshop that will be taught in person. Please look at our Introductory Statistical Analysis using R and our Intermediate Statistical Analysis using R if you need a recording of this material.
Day 1: Getting Started with R
- Interacting with R and R-Studio
- R coding basics
- Loading data
- Manipulating data
- Visualizing data
Day 2: Basic Statistical Analysis in R
- Descriptive Statistics
- T-tests
- Chi-squared tests
- Simple linear regression
- Correlation analysis
- One-way ANOVA
- Model Assumptions
Day 3: Intermediate Statistical Analysis and Workflow in R
- Two-way ANOVA
- Multiple linear regression
- Post-hoc tests
- Organizing code and data using Rstudio Projects
- Communicating results using RMarkdown
For information on how to install R and R Studio, please visit: https://cscu.cornell.edu/installr.