Description:  This two-day seminar will offer participants an opportunity to understand the ins-and-outs of the statistical package R. R is a free software environment for statistical computing and graphics. While powerful and free, many find that the learning curve can be a bit steep. This workshop helps to flatten the learning curve just a bit so that participants can tackle individual research projects with greater confidence once the workshop is completed. Topics covered during the workshop include: Introduction to R, data structures in R, data import and export, If else, loop, write your own function, graphics, summary of data with R, basic concepts of probability and statistics, analysis of means with R, and analysis of variances and regression with R.

Numerous “add-on” packages, offering almost unlimited analysis options, are available for R users. Many of these packages will be examined. However, participants will also learn a bit about the basics of programming in R so that the use of packages will make more sense later on. In addition to specific topics, facilitators will offer ways to conceptualize the use of R in developing data strategies. Participants will work on simulated and real data analysis problems throughout the sessions to apply and reinforce class concepts.

Workshop Facilitators:
Seok-Oh Jeong
Visiting Scholar and Associate Professor
Department of Statistics, University of Georgia
Department of Statistics, Hankuk University of Foreign Studies, Korea

In Heok Lee
Postdoctoral Fellow
Program of Workforce Education, University of Georgia

Jay W. Rojewski
Professor
Program of Workforce Education, University of Georgia

Cost: $300  (Includes refreshment breaks and lunch each day)

Workshop Flyer

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