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

Statistics : An Introduction using R by Michael J. There are many books available about R, including books focusing on the language itself, books on graphics in R, books on implementing particular statistical techniques in R and more than one introduction to R. This course will cover An introduction to R, Data Management, Graphics, and Statistical Analysis and Data Mining. R Tutorial Series: Introduction to The R Project for Statistical Computing (Part 1) Although it does take some effort to become familiar with, R ultimately proves to be an affordable, customizable, and expandable statistical analysis solution. With a hat tip to the Revolutions blog, a FREE introductory book to statistics and probability which illustrates all of its examples in R has been released (free pdf version and pay-for paperback version). This is the first of a series of posts on exploratory data analysis (EDA). What statistical packages are used in the practicals? Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. Get an introduction to R, the open-source system for statistical computation and graphics. Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. Statistics: an Introduction using R, by Michael Crawley) and other works available on-line often refer to such models this way.