Introduction to Statistical Analysis in R

If you missed this workshop but are interested in the material, a recording of the workshop is available at this link.

R is an open-source statistical software program that is commonly used in both academic and non-academic settings and across many disciplines. This workshop will introduce participants to the object-oriented R environment and to basic functions in R. We will learn how to write and run code, load, manipulate, and use data in R, run basic statistical models, and install packages for more advanced analyses. Additionally, workshop attendees will become familiar with RStudio, an open-source set of tools designed to increase R productivity. This workshop is intended for participants with no previous knowledge of R or RStudio. Prior to attending the workshop, participants should do the following:

1. Download R (https://www.r-project.org/) (Please download from the CRAN server that is closest to you geographically.)
2. Download RStudio (https://www.rstudio.com/products/rstudio/download/ (Please download the first option, RStudio Desktop, which is free and open source.)
3. Open both programs and make sure they work (note that R must be installed before RStudio will function.)

Speaker Biography: Melissa Whatley holds a Ph.D. in Higher Education from the Institute of Higher Education at the University of Georgia. She is currently a postdoctoral research scholar in NC State’s Belk Center for Community College Leadership and Research, where she conducts research surrounding community college student transfer, community college campus climate, and community college international education. She specializes in quantitative research methods, including quasi-experimental design and network analysis.