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 three-part workshop is designed for people with little or no experience with programming or statistics. Please look at our Introductory Statistical Analysis using R and our Intermediate Statistical Analysis using R if you need a recording of this material.
- 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.