Num Pages: 244 pages, 129 black & white illustrations, biography. BIC Classification: UY. Category: (G) General (US: Trade). Dimension: 236 x 192 x 14. Weight in Grams: 458. . 2014. 1st ed. Paperback. . . . .

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Bibliographic Details

Title: Using R for Statistics
Publisher: Apress
Publication Date: 2014
Language: English
ISBN 10: 148420140X
ISBN 13: 9781484201404
Binding: Soft cover
Edition: 1st Edition
Condition: New

About this title

Synopsis

Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations.

You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background.

After reading and using this guide, you'll be comfortable using and applying R to your specific statistical analyses or hypothesis tests. Noprior knowledge of R or of programming is assumed, though you should have some experience with statistics.

About the Author

Sarah Stowell is a Contract Statistician with Mitsubishi Pharma Europe and has been a Statistician with MDSL International and GlaxoSmithKline previously. She holds a Master of Science degree in Statistics.

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