The R Primer

Preface. 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. Getting information. R packages. The R workspace. R Studio. Getting information. Using R Studio for reproducible research. Large datasets. Bibliography. Index.