Tattar P.N. R Statistical Application Development by Example Beginner's Guide

Pact Publishing, 2013. — 345 p. — ISBN: 1849519447, 9781849519441The open source software R is fast becoming one of the preferred companions of Statistics even as the subject continues to add many friends in Machine Learning, Data Mining, and so on among its already rich scientific network. The era of mathematical theory and statistical applications embeddedness is truly a remarkable one for the society and the software has played a very pivotal role in it. This book is a humble attempt at presenting Statistical Models through R for any reader who has a bit of familiarity with the subject. In my experience of practicing the subject with colleagues and friends from different backgrounds, I realized that many are interested in learning the subject and applying it in their domain which enables them to take appropriate decisions in analyses, which involves uncertainty. A decade earlier my friends would be content with being pointed to a useful reference book. Not so anymore! The work in almost every domain is done through computers and naturally they do have their data available in spreadsheets, databases, and sometimes in plain text format. The request for an appropriate statistical model is invariantly followed by a one word question "Software?" My answer to them has always been a single letter reply "R!" Why? It is really a very simple decision and it has been my companion over the last seven years. In this book, this experience has been converted into detailed chapters and a cleaner breakup of model building in R.