Essential Statistics with R
This workshop will provide hands-on instruction and exercises covering basic statistical analysis in R. This will cover descriptive statistics, t-tests, linear models, chi-square, clustering, dimensionality reduction, and resampling strategies. We will also cover methods for "tidying" model results for downstream visualization and summarization.
Prerequisites: Familiarity with R is required (including working with data frames, installing/using packages, importing data, and saving results); familiarity with dplyr and ggplot2 packages is highly recommended.
Setup instructions: Laptop with all software installed is required. Instructions for software setup to be provided prior to the workshop.
- Monday, November 13, 2017
- 2:00pm - 5:00pm
- Health Sciences Library Carter Classroom
- Stephen Turner, PhD