Suitable for a compact course or self-study Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis statistical programming and graphics. Integrating R code and examples throughout the text only requires basic knowledge of statistics and computing. This introduction covers one-sample analysis and distribution diagnostics regression two-sample problems and comparison of distributions and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition the handy appendix includes a collection of R language elements and functions serving as a quick reference and starting point to access the rich information that comes bundled with R. Accessible to a broad audience this book explores key topics in data analysis regression statistical distributions and multivariate statistics. Full of examples and with a color insert it helps readers become familiar with R. . Language: English