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Beginning R

The Statistical Programming Language

Beginning R by Mark Gardener
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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.

Wiley; May 2012
432 pages; ISBN 9781118239377
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Title: Beginning R
Author: Mark Gardener
Buy, download and read Beginning R (eBook) by Mark Gardener today!