LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.

Remaining Spring 2012 Schedule:
February 16: Statistical Analysis in R, Part II;*
February 21 & February 23: Plotting Data in R through Excel;*
February 28: Regression Analysis using JMP;
March 13: Bayesian Methods for Regression in R;*
*These courses will be held in 3060 Torgersen, all other courses will be held in GLC Room F.

Thursday, February 16;
Instructor: Andy Hoegh and Caleb King;
Title: Statistical Analysis in R, Part II;
Course Information:
R is a free computing and graphical software/environment for statistical analysis.

Part 2 of this short course consists of 2 sections:
- Section 3 introduces statistical analysis in R, including t-tests, ANOVA, linear regression, nonparametric tests, and logistic regression.
- Section 4 contains advanced R programming concepts such as functions, data simulation, the statistical bootstrap, and scraping data from the web using FTP.

Note: experience using R or attending Part I of this series is suggested but not required for Part II.

R can be downloaded here: http://www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop

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More information...

Location:	3060 Torgersen
Price:	Free
Contact:	Tonya Pruitt lisa@vt.edu 540-231-8354
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