Linear Models in R

This page currently pertains to the Academic Year 2010/2011.

The Linear Models in R module is part of the Computational and statistical methods for data modelling and analysis course offered by the doctoral schools in Cognitive and Brain Sciences and Psychological Sciences and Education.

The module is taught by Marco Baroni.

For contact details, up-to-date information about Marco's office hours and general announcements (time changes, etc.), go here.

Information about the final exam

• Short written project report
• Due Monday February 28 in dedicated folder at the Palazzo Fedrigotti Reception
• What you must do:
• Pick your own data (or ask your advisor, or me, for data to analyze)
• Analyze them using R
• Prepare short report:
• Short description of the research issue and data
• Commented list of commands you used
• General remarks about the results
• It's OK to turn in the report as a commented R script (but please explain what you did step by step!)

Lecture slides

• Introduction and basics: slides (for online viewing) and compact version (4 slides per page, better for printing)
• Ordinary linear regression: slides and compact version
• Logistic regression: slides and compact version

Data

• r-data.zip