Introduction to R for Data Analysis

August 25, 2017

Hands‐on introduction to using the R language for statistical analysis for those with little or no
experience. Topics will include
 R interfaces
 Installing packages
 Introduction to R syntax
 Reading data
 Data manipulation
 Creating summary statistics
 Simple plots
 Basic statistical analysis
Prerequisites: No previous experience using R is required. Participants must have a laptop with
wireless internet access, able to install and run the R program.

Instructor: Dr. Scott Richter is Professor in the Department of Mathematics and Statistics and Director of the UNCG Statistical Consulting Center. He teaches undergraduate and graduate level courses in statistical methodology, and consults extensively with researchers across campus. More information can be found at

Workshop files:









Contact Us

Quantitative Methodology Series

The University of North Carolina at Greensboro
Department of Mathematics & Statistics
116 Petty Building
PO Box 26170
Greensboro, NC 27402-6170

Scott Richter, Ph.D.

Professor, Department of Mathematics and Statistics
Director of Statistical Consulting Center

John Willse, PSY.D.

Associate Professor and Department Chair, Educational Research Methodology