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LISA Statistics Short Course:Statistical Analysis in R, Part I
(Academic)
LISA SHORT COURSES IN STATISTICS
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 14: Statistical Analysis in R, Part I;*
February 16: Statistical Analysis in R, Part II;*
February 21 & February 23: Plotting Data in R through Excel;*
February 28: Regression Analysis with Categorical Factors using JMP and R;
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.
Tuesday, February 14;
Instructor: Andy Hoegh & Caleb King;
Title: Introduction to R, Part I;
Course Information:
R is a free computing and graphical software/environment for statistical analysis.
Part 1 of this short course consists of 2 sections:
-Section 1 introduces R programming basics, including data objects, loops, and importing/exporting datasets, then these concepts are reinforced using examples of data manipulation/cleaning.
-Section 2 discusses the R graphics environment and the creation basic statistical plots as well as paper/presentation quality images.
R can be downloaded here: http://www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop
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