Multiple Comparisons Using R

There are many scientific experiments requiring statistical analysis that involve the evaluation of more than one experimental question. For example, two treatments may be considered in a single clinical trial. Multiple comparisons procedures allow for inference across multiple hypotheses while keeping error under control. Focusing on implementing methods in R, Multiple Comparisons using R provides a concise and accessible introduction to multiple comparison procedures. The book presents numerous worked examples, all implemented in R, that enable readers to apply the methods to their own data. Additional data sets and R software are available on a supporting website.