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LISA Statistics Short Course: Introduction to R, Part III
(Academic)
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's 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.
Spring 2013 Schedule:
January 29: Designing Experiments and Collecting Useful Data*;
February 5: A Tutorial in T-Tests and ANOVA in JMP*;
February 12: Regression Analysis Using JMP*;
February 18: Introduction to R, Part I;
February 19: Introduction to R, Part I;
February 25: Introduction to R, Part II;
February 26: Introduction to R, Part III;
March 5: How to make plots to tell the story of your data;
March 18: Data Mining Basics;
March 19: Data Mining Basics;
March 26: Classification and Regression Trees (CART);
*These courses will be held in the GLC Room G, all other courses are in 3060 Torgersen Hall.
Tuesday, February 26; 4:00-6:00 pm
Title: Introduction to R, Part III;
Instructor: Peng Sun;
Course Information:
R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections:
-Section 5 introduces the concept of generalized linear models. R will be used for performing logistic regression and Poisson regression.
-Section 6 introduces the concept of categorical data analysis. Topics to be covered include: graphical displays of categorical data, measures of association, and contingency tables analyses.
-Section 7 will cover writing functions in R. Users can write functions in R to carry out operations and return one or more values. Examples of functions will be given and participants will also be given exercises to help with writing their own functions.
Note: experience using R or attending Part I and Part II of this series is suggested but not required for Part III.
R can be downloaded here: http://www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop
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540-231-8354