9780596809157-0596809158-R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)

ISBN-13: 9780596809157
ISBN-10: 0596809158
Edition: 1
Author: Teetor, Paul
Publication date: 2011
Publisher: O'Reilly Media
Format: Paperback 438 pages
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Book details

ISBN-13: 9780596809157
ISBN-10: 0596809158
Edition: 1
Author: Teetor, Paul
Publication date: 2011
Publisher: O'Reilly Media
Format: Paperback 438 pages

Summary

Acknowledged authors Teetor, Paul wrote R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks) comprising 438 pages back in 2011. Textbook and eTextbook are published under ISBN 0596809158 and 9780596809157. Since then R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (Anova) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language-one practical example at a time". -Jeffrey Ryan, software consultant and R package author

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