Overview
- If you need to use a variety of statistics, then Using R for Statistics will get you the answers to most of the problems that are likely to be posed.
- 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.
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About this book
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.
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Table of contents (14 chapters)
About the author
Bibliographic Information
Book Title: Using R for Statistics
Authors: Sarah Stowell
DOI: https://doi.org/10.1007/978-1-4842-0139-8
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Sarah Baldock 2014
Softcover ISBN: 978-1-4842-0140-4Published: 21 June 2014
eBook ISBN: 978-1-4842-0139-8Published: 05 July 2014
Edition Number: 1
Number of Pages: XVI, 244
Number of Illustrations: 129 b/w illustrations
Topics: Big Data, Software Engineering/Programming and Operating Systems