The R primer

Importing data. reading spreadsheets

Importing data from other statistical software programs

Exporting data

Manipulating data. Working with data frames

Factors

Transforming variables

Statistical analyses. Descriptive statistics. Linear models

Generalized linear models

Methods for analysis of repeated measurements

Specific methods

Model validation

Contingency tables

Agreement

Multivariate methods

Resampling statistics and bootstrapping

Robust statistics

Non parametric methods

Survival analysis

Graphics. High level plots

More advanced graphics

Working with graphics

R. Getting information

R packages

The R workspace.