STAT 485: Intermediate Topics in R Statistical Language

Since its release in 1997, R has emerged as a popular tool for statistical analysis and research. The flexibility and extensibility of R are keys attributes that have driven its adoption. Some of the advantages of R are related to the command line interface (CLI) form in which it is used. However, this does add to the challenge of learning to use R. The goal of this course is to build upon the knowledge and experience gained in STAT 484. Specifically:

1. Become familiar with using R for common statistical analyses
2. Learn how to use R graphics to develop sophisticated figures
3. Explore simple programming in R
4. Develop good analytical practices including documenting analysis and data manipulation, and collaborating with others in the R user/learner community

 You can download R from CRAN (the Comprehensive R Archive Network). 

I also suggest that you download and install RStudio, which creates a nicer user interface for R. RStudio is not necessary, but once you have used it, you probably won't want to use R without it.

Essential   Course NotesYou will need to download, and likely print, the course notes (Essential R) which are found on the Essential R Learning page.