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Essential Statistics with R

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.

Date:
Monday, November 13, 2017
Time:
2:00pm - 5:00pm
Location:
Health Sciences Library Carter Classroom
Instructor:
Stephen Turner, PhD