Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.
Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.
It’s been over 10 years since I was first introduced to R. Back then, I was a young
product development manager at DoubleClick, a company that sold advertising
software for managing online ad sales. I was working on inventory prediction: estimating
the number of ad impressions that could be sold for a given search term, web
page, or demographic characteristic. I wanted to play with the data myself, but we
couldn’t afford a piece of expensive software like SAS or MATLAB. I looked around
for a little while, trying to find an open-source statistics package, and stumbled on