LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

November 15, 2010
Using R for Your Basic Statistical Needs
Instructor: Nels Johnson

Many statistical practitioners prefer JMP, SPSS, and Minitab to R and SAS because using the latter grouping requires learning a computer software language instead of point and click interface. The difficulty with sticking to the point and click interface programs is they tend to be more limited in the kinds of analyses that they can handle. Using a program like R or SAS becomes the best option in these cases. The key to successful coding in R (and SAS) means being comfortable with reading the help files. So for this talk we are going to go through several simple data analysis examples (e.g. t-test) from start to finish. This means for, e.g., a t-test we’ll want to first import the data, graph it to make sure a t-test is appropriate, lookup what function in R does a t-test, what options we have when we doing the analysis, etc.

See course page for R file (

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