May 16, 2013, 3121 Snedecor
This workshop is designed to help you use R to fit linear models, enabling a smooth transition to R from other statistical software packages. The course will be data centric, with lots of different data sets that illustrate examples of the different techniques used for different problems.The course will be a mix of instruction and follow-up exercises. It will be held in a computer lab but you are encouraged to bring your own laptops, with software already loaded. A list of software will be available at this site several days prior to the workshop.
Please contact Heike Hofmann (email@example.com) for fees in case you are not affiliated with the university.
|Date||Notes||Lecture and Resources|
|12:00 – 12:15||Setting Up||This will make sure that everybody's system is up and running
|12:15 – 01:15||Linear Regression||Introduction to lm: formulas, model fitting, summaries
|01:15 – 01:30||coffee break|
|01:30 – 02:15||Plots & Diagnostics||Residual plots, measures of model adequacy
|02:15 – 03:00||ANOVA & ANCOVA||aov, anova
|03:00 – 03:15||coffee break|
|03:15 – 04:00||Generalized Linear Models||glm
|04:00 – 04:45||Linear Mixed Effects Models||Introduction to lmer
|04:45 – 05:00||Feedback||We very much appreciate any feedback you can give us. You can find a form here: survey.|
After the end of the this one course, we expect you to be able to do the following:
You can bring your own laptop and work on it, if you like to. In order to keep up with everybody else, we're asking that you start installing the following pieces of software ahead of coming to the workshop:
install.packages("ggplot2") install.packages("MASS") install.packages("plyr") install.packages("productplots") install.packages("lme4") install.packages("car")