Liang Shan's guest appearances

Liang Shan

LISA: Laboratory for Interdisciplinary Statistical Analysis - Short Courses

ERIC SMITH

Matt Williams

Anne Ryan

Block Design

Qing Li

Eric Vance

Jonathan Stallings

Khaled Bedair

Yiming Peng

Mark Seiss

Chris Franck

Nels Johnson

Marcos Carzolio

Wandi Huang

Sai Wang

OwlTail

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/desktopCourse files available here: www.lisa.stat.vt.edu/?q=node/5039.

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: <a href="http://www.r-project.org/" rel="nofollow" target="_blank">http://www.r-project.org/</a> RStudio can be downloaded here: <a href="http://rstudio.org/download/desktop" rel="nofollow" target="_blank">http://rstudio.org/download/desktop</a> Course files available here: <a href="http://www.lisa.stat.vt.edu/?q=node/5039" rel="nofollow" target="_blank">www.lisa.stat.vt.edu/?q=node/5039</a>.

Introduction to R, Part III - Categorical Data Analysis by Liang Shan