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This course provides users new to R an overview of the R language. We cover the basics of R programming, data manipulation, graphics, and data analysis. The course also reviews technical aspects of R installations, as well as key efficiency concepts to optimize R programs. It is a hands-on course filled with real data and examples, case studies, and in-class mini projects. 1 day.
This course covers more advanced topics in using R for statisical analysis and modeling. We cover statistical inference procedures, regression modeling, diagnostics and prediction, generalized linear regression, data mining procedures such as trees and neural nets, and more. This course is a must for statisticians and modelers who are new to R. Knowledge of the R language and basic statistics are assumed. 2 days.
Many R users are new to R, but not new to analytic programming in general. SAS users will find that R has some similarities, but is very different in many ways and requires a different mindset to master. Once the basic differences are understood, however, SAS users will find the power and flexibility of R readily apparent. Knowledge of SAS and basic data analysis concepts are assumed. 1 day.