summerofR
Summer of R Workshop
Abstract
R Basics and Beyond
Weeklong workshop on using R: August 12 - 16, 2019.
WHAT IS R AND WHY USE IT?
R is an open-source platform for statistical analyses that has become increasingly popular in educational and social science research. There are many benefits to making the switch from using other statistical software programs, which can be limited in the analyses they can perform and can also be expensive. R is a great alternative because:
R has a wide range of capabilities for statistical analyses.
- Both data management and analyses can be performed without having to switch between programs.
- R code is suited for collaboration and replication of findings.
- New capabilities are constantly being developed by an ever growing R user community!
- Finally, R is totally FREE!
WHAT TO EXPECT FROM SUMMER OF R: This training is designed for researchers who want to make the switch to using R. The training will provide the nuts and bolts of the program which is crucial in understanding how R functions work.
The training has two parts:
Part I: Data Exploration & Visualization
Part II: Linear Regression Modeling
This is the Inaugural Summer of R training and this training series will continue annually.
WHO SHOULD ENROLL IN THIS TRAINING?
This training is designed to provide everything you need to get started using R and complete basic analyses. Enrollment is open to students, faculty and researchers in the social, behavioral, medical, and education sciences. Participants should have a background understanding of statistical methods. The training will not cover the background and theory of the statistical methods used in R. This not a training in statistics, but a training in using R to complete the analyses.
ABOUT THE R EXPERTS PROVIDING THE TRAINING:
The training will be provided by two of our excellent instructors Dr. Francis Huang and Dr. Wolfgang Wiedermann. They are both prolific methodologists, experienced educators, and faculty members in the Statistics, Measurement, and Evaluation in Education (SMEE) department at the University of Missouri, and teach a variety of graduate methods courses that solely use R.