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#### Dynamic Linear Models with R

Springer 2009; US$ 79.95State space models have gained tremendous popularity in as disparate fields as engineering, economics, genetics and ecology. Introducing general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. It illustrates the fundamental steps needed to use dynamic linear models in practice, using R package. more...

#### Behavioral Research Data Analysis with R

Springer 2011; US$ 59.95This book is written for behavioral scientists who want to consider adding R to their existing set of statistical tools, or want to switch to R as their main computation tool. The authors aim primarily to help practitioners of behavioral research make the transition to R. The focus is to provide practical advice on some of the widely-used statistical... more...

#### R by Example

Springer 2012; US$ 64.95R 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 statistical and probability computations using... more...

#### A Tiny Handbook of R

Springer 2011; US$ 39.95This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation. more...

#### R Graph Cookbook

Packt Publishing 2011; US$ 29.99Detailed hands-on recipes for creating the most useful types of graphs in R – starting from the simplest versions to more advanced applications more...

#### Statistical Analysis with R

Packt Publishing 2010; US$ 26.99Take control of your data and produce superior statistical analysis with R. more...

#### Beginning R

Apress 2012; US$ 27.99R is becomming the de facto standard language of statistics Commercial adoption is increasing as exemplified by Oracle's recent adoption of R for a Big Data Appliance based upon their fast-growing Exadata hardware R is widely supported in mainstream statistical applications such as SPSS, Matlab, Statistica, SAS, and more more...