Analyze data with linear and other models
This material is in a very early stage. It is not clear how complete this will be, as the focus of this material is to provide advanced access to R as an interactive environment, rather than focus on statistical methods. See some of the references for links to more complete material.
Learning Objectives: After completing this material, an individual will be able to
do first steps to analyze data in R.
- correlate measurements and compare across groups using linear models
- develop annotated plots that reflect project design
- organize linear model results with broom, car, or lsmeans packages
- clustering and trees, building networks
- models that are not linear: generalized linear models, non-linear models
- formulas
| file | contents |
|---|---|
| correlate | co-relate variables (columns) of data |
| covary | how do columns co-vary together |
| linear_model | linear models |
| sysgen | systems genetics |
Douglas Bates