Laboratory for Interdisciplinary Statistical Analysis

Introduction to R, Part III

Date:

Monday, November 12, 2012

Time:

Location:

3060 Torgersen Hall

Instructor:

Liang (Sally) Shan

Course Topics

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

This 2 hour course is broken into two sections on Vimeo:
1. Categorical Data Analysis (http://vimeo.com/53859868)
2. Generalized Linear Models (http://vimeo.com/53966188)