Ases in which they had one into a fair bit of detail explaining the statistical uestions they were analyzing the data to ask Since this isn t a statistics textbook as I said before this is "Fair But It Would Have Been Nice "but it would have been nice The Way Between the Worlds (The View from the Mirror, get a little bit explanation of some results especially for techniues with which I was not as familiarAll in all though areat resource when used in conjunction with a statistics textbook or course and the R help files with some ood programming examples and some nice time saving tips for using R Anyone who isn t at least somewhat familiar with R already though should be warned that the book is a bit fast on the basics so they won t be able to rely on this exclusively and will have to supplement with the R help documentation and or a introductory resource. Al statistics Throughout modern techniues such as robust methods non parametric smoothing and bootstrapping are used where appropriate This fourth edition is intended for users of S PLUS 60 or R 150 or later A substantial change from the third edition is updating for the current versions of S PLUS ** And Adding Coverage Of R **adding coverage of R introductory material has been rewritten to emphasis the import export and manipulation of data Increased computational power allows even computer intensive methods to be used and methods such as GLMMs MARS SOM and support vector machines are consider. Ar this book is really complete easy Read And Allows You To Get "read and allows you to et lot of self learning totally recomend it This is an very ood resource for learning how to implement various statistical methods in R which is based on S The authors do provide some theoretical and mathematical explanation of the various methods they cover which was helpful as a refresher but I found it was not as effective various methods they cover which was helpful as a refresher but I found it was not as effective learning the basis of methods I didn t already know especially because the authors o through things rather uickly They have a wealth of examples from a wide range of fields which is helpful for people coming to the book from different disciplines However I found that once they produced statistical results for a iven example they didn t explain what those results would mean even in This book is to show how to use S as a powerful and raphical data analysis system Readers are assumed to have a basic rounding in statistics and so the book is intended for would be users of S PLUS or R and both students and researchers using statistics Throughout the emphasis is on presenting practical problems and full analyses of real data sets Many of the methods discussed are state of the art approaches to topics such as linear nonlinear and smooth regression models tree based methods multivariate analysis pattern recognition survival analysis time series and spati. I think this was the first book I bought on R "and it s certainly the most well thumbed The raphing examples are really uite ood but it s a really hard "it s certainly the most well thumbed The raphing examples are really uite ood but it s a really hard if you re new to R Once you ve otten familiar though check it out if you re doing a lot of data visualization work First I want to say If you don t know it yet this book even is not recent is absolutely a basic manual for R so don t let yourself be distracted by the title There are lots of R functions that will lead you in it s references to this book and this text is pure Every Boys Dream gold Venables and Ripley are not only making easy to copy and paste scripts but they are alsoiving reat introductions complete applications and every mathematical condition and function you can imagine to be related to the subjects Finally to be cle. S is a powerful environment for the statistical and raphical analysis of data It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having A Succession of Bad Days goodraphics and computational capabilities This book is a uide to using S environments to perform statistical analyses and provides both an introduction to the use of S and a course in modern

*"statistical methods Implementations of S are available commercially in S PLUSR workstations and as the Open Source R for a "*methods Implementations of S are available commercially in S PLUSR workstations and as the Open Source R for a range of computer systems The aim of.