Beginning R

Conquer the complexities of this open source statisticallanguage R is fast becoming the de facto standard for statisticalcomputing and analysis in science, business, engineering, andrelated fields. This book examines this complex language usingsimple statistical examples, showing how R operates in auser-friendly context. Both students and workers in fields thatrequire extensive statistical analysis will find this book helpfulas they learn to use R for simple summary statistics, hypothesistesting, creating graphs, regression, and much more. It coversformula notation, complex statistics, manipulating data andextracting components, and rudimentary programming. * R, the open source statistical language increasingly used tohandle statistics and produces publication-quality graphs, isnotoriously complex * This book makes R easier to understand through the use ofsimple statistical examples, teaching the necessary elements in thecontext in which R is actually used * Covers getting started with R and using it for simple summarystatistics, hypothesis testing, and graphs * Shows how to use R for formula notation, complex statistics,manipulating data, extracting components, and regression * Provides beginning programming instruction for those who wantto write their own scripts Beginning R offers anyone who needs to performstatistical analysis the information necessary to use R withconfidence.