Using R for Statistics

Nonfiction, Computers, Database Management, Programming, Software Development, General Computing
Cover of the book Using R for Statistics by Sarah  Baldock, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Sarah Baldock ISBN: 9781484201398
Publisher: Apress Publication: July 5, 2014
Imprint: Apress Language: English
Author: Sarah Baldock
ISBN: 9781484201398
Publisher: Apress
Publication: July 5, 2014
Imprint: Apress
Language: English

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. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.

More books from Apress

Cover of the book Linux Kernel Networking by Sarah  Baldock
Cover of the book Pro SQL Server Relational Database Design and Implementation by Sarah  Baldock
Cover of the book Exporting Essentials by Sarah  Baldock
Cover of the book Securing PHP Apps by Sarah  Baldock
Cover of the book Practical Sitecore 8 Configuration and Strategy by Sarah  Baldock
Cover of the book OpenStack Trove by Sarah  Baldock
Cover of the book Pro Bash Programming, Second Edition by Sarah  Baldock
Cover of the book Beginning LoRa Radio Networks with Arduino by Sarah  Baldock
Cover of the book Android Quick APIs Reference by Sarah  Baldock
Cover of the book Pro Drupal as an Enterprise Development Platform by Sarah  Baldock
Cover of the book Oracle Application Express by Design by Sarah  Baldock
Cover of the book SAP Project Management Pitfalls by Sarah  Baldock
Cover of the book Pro PowerShell for Amazon Web Services by Sarah  Baldock
Cover of the book Pro Oracle SQL by Sarah  Baldock
Cover of the book ASP.NET Core Recipes by Sarah  Baldock
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy