Last Modified: November 16, 2017
The notes and scripts included here are copyrighted by their author,
Larry P. Ammann, and are intended for the use of students currently registered
for Stat 3355. They may not be copied or used for any other purpose without
permission of the author.
Software for Statistical Analysis
Examples presented in class are obtained using the statistical programming
language and environment R. This is freely available software with
binaries for Linux, MacIntosh, Windows that can be obtained from:
A very useful extension for R is another freely available open-source package,
RStudio. There are versions available for Windows, Mac, and Linux which can be
Be sure to download the free version of this software. This package provides an intelligent editor for script files, it allows specific projects to be assigned to their own directories to aid in organization of your work, RStudio includes an interactive debugger to help identify and correct errors, and it provides an interactive GUI for easily exporting graphics to image files for incorporation into documents. Examples in class will be done using RStudio.