Title Details

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.