Allerhand M. A Tiny Handbook of R

2nd edition. — O’Reilly Media, 2012. — 724 p. — ISBN: 144931208X, 9781449312084. If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare,...

Springer, 2012. — 374 p. — (Use R!). — ISBN: 1461413648, 9781461413653. R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of...

University of Cambridge, Statistical Laboratory, 2012. – 114 p. – ISBN: N/A These worksheets may be used for any educational purpose provided their authorship (P.M.E.Altham) is acknowledged. Getting started: books and 2 tiny examples Ways of reading in data, tables, text, matrices. Linear regression and basic plotting A Fun example showing you some plotting and regression...

O’Reilly Media – 2013, 416 pages ISBN: 1449316956, 9781449316952 This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe...

Springer, 2009. — 262 p. — ISBN 978-0-387-88697-8 This book gives you a step-by-step introduction to analysing time series using the open source software R. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence confirms understanding of both the model and the R...

John Wiley & Sons Ltd, 2007. — 951 p. Getting Started Essentials of the R Language Data Input Dataframes Graphics Tables Mathematics Classical Tests Statistical Modelling Regression Analysis of Variance Analysis of Covariance Generalized Linear Models Count Data Count Data in Tables Proportion Data Binary Response Variables Generalized Additive Models Mixed-Effects Models...