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Statistics: an introduction using R Michael J. Crawley
Publisher: Wiley

Crawley: Statistics, an introduction using R; Wiley (basic statistics and introduction to R). It is very decent introduction to R. R is a nice gentle introduction object- orientated programming. 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. If you've declared your own classes and . For that reason I would recommend sticking with R for any kind of data exploration or prototyping and switching to Mahout as you get closer to production. I am using R casually for doing server logs analysis, mostly. You'll learn how to wri I have bought R in a Nutshell some time ago (1-st edition) and I was pleased with it. My interests are in computational statistics, machine learning, Bayesian modelling, data visualisation, market mix modelling and R. However, their statistical knowledge is almost non-existent. I thought that R in a Nutshell would introduce them to concepts about R programming (S3 objects for example), without clouding the issue with statistical topics. Of objects is going to seem like a drag. I'm a statistician at Mindshare UK. Ligges: Programmieren mit R; Springer (German; emphasizes on programming).