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This set of brief notes describes an alternative approach that is widely used by practicing statisticians, the statistical environment R. When teaching statistics or communicating results to others, it is helpful to use examples that may be used by others using different computing environments and perhaps using different software. Although convenient to use, GUI based operations are difficult to discuss in written form. These programs are also very expensive and limited in what they can do. These programs have GUIs (Graphical User Interfaces) that are relatively easy to use but that are unique to each package. Some of the more common packages used are Systat, SPSS, and SAS. They differ in multiple ways, at least some of which are ease of use, generality, and cost. There are many possible statistical programs that can be used in psychological research. Get the definitive Introduction to R written by members of the R Core Team. In addition, a short guide to data analysis in a research methods course offers some more detail on graphing. (For two very abbreviated, and very out of date, forms of this guide meant to help students do basic data analysis in a personality research course, see a very short guide. I recommend the tutorials or the various short courses. This page has been lightly edited in September 2020, but is generally very out of date. Much of material has also covered been covered in number of short courses or in a set of tutorials for specific problems.

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This is one page of a series of tutorials for using R in psychological research. Using R for psychological research A simple guide to an elegant language

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