R: Regression Analysis in R New
Tue 22 Oct - Wed 23 Oct 2013
Description
This course is for new users who have learnt how to get data into R already, and know how to operate basic syntax. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard R procedures. Half a dozen libraries will be introduced that enables importing of data and running of linear, binary, ordinal and nominal outcome regression models in R.
Prerequisites
- Working knowledge of R
- Familiarity with simple statistical concepts
Sessions
Number of sessions: 2
| # | Date | Time | Venue | Trainer |
|---|---|---|---|---|
| 1 | Tue 22 Oct 2013 14:15 - 17:00 | 14:15 - 17:00 | Balfour Macintosh Room | Dr T.J. Croudace |
| 2 | Wed 23 Oct 2013 09:30 - 13:00 | 09:30 - 13:00 | Balfour Macintosh Room | Dr T.J. Croudace |
Topics covered
- Linear regression for continuous outcomes
- Bootstrapping standard errors
- Logistic regression
- Logistic regression for clustered data
- Ordinal regression for multi-category outcomes that can be ordered
- Logit and probit models
- Nominal regression (in brief) for unordered multicategory outcomes
- Categorical covariates using xi:
Format
Presentations, demonstrations and practicals.
System requirements
R v. 2.9.1 on PWF Windows
Duration
Two half day sessions
Themes
Booking / availability