R Workshop: July 18-22, 2016

Course participants will learn step-by-step procedures to use R and the codes to conduct specific statistical analyses. The course is designed for beginners; however, a basic understanding of statistics is required to adequately grasp the concepts that will be discussed. Following an introduction to R as a language and an environment, the statistical analyses that will be covered include: descriptive statistics, hypothesis testing (i.e. Student’s t-tests, chi-squared tests, ANOVA, etc.), linear and logistic regression, discriminant function analysis and principal component analysis.

For an additional cost of $75, an optional session is available on Friday, July 22, for 10 participants on a first come, first serve basis. You can bring your own data set and conduct your own statistical analyses and the Instructors will be there to interpret code and offer advice.


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