Introduction to R for Data Analysis

January 22, 2020
Petty 136 (Also available virtually) 

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:




    Workshop document

    R Workshop Slides











    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