The Essentials of R for Statistical Analysis

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


Downloading R and R Studio:

If you intend follow along with the R coding during the workshop, please make sure that you have the latest version of R and RStudio installed.

First, you will need to download and install R. R can be downloaded at:

Next you will need to download and install RStudio. We will use RStudio in this workshop. You can download RStudio at: