R for Dummies

ISBN-10: 1119962846

ISBN-13: 9781119962847

Edition: 2nd 2012

List price: $21.99
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Description:

Learn to become an R master!With R becoming one of the leading software packages, there is an increased need from new users, as well as experienced scientists and engineers to understand how to utilize the extensive capabilities of R software in any setting. This easy–to–follow guide explains how you can use R for data analysis and data management. This book delves into many important aspects of field application to keep you up to speed with the other companies and organizations that use R as a powerful programming language for data analysis.Includes tips for the initial installation of RTeaches R fundamentalsShowcases common R mistakes so you can catch and avoid themExplains dereferencing for pulling parts of data out with ROptimize the data sets that come installed with RAn ideal introductory program, R For Dummies teaches you how to conduct powerful statistical data analysis and master R usage for future endeavors, regardless of your level of experience.
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Book details

List price: $21.99
Edition: 2nd
Copyright year: 2012
Publisher: John Wiley & Sons, Limited
Publication date: 7/20/2012
Binding: Paperback
Pages: 406
Size: 7.25" wide x 9.50" long x 1.00" tall
Weight: 1.342
Language: English

Introduction
R You Ready?
Introducing R: The Big Picture
Exploring R
The Fundamentals of R
Getting Down to Work in R
Getting Started with Arithmetic
Getting Started with Reading and Writing
Going on a Date with R
Working in More Dimensions
Coding in R
Putting the Fun in Functions
Controlling the Logical Flow
Debugging Your Code
Getting Help
Making the Data Talk
Getting Data into and out of R
Manipulating and Processing Data
Summarizing Data
Testing Differences and Relations
Working with Graphics
Using Base Graphics
Creating Faceted Graphics with Lattice
Looking At ggplot2 Graphics
The Part of Tens
Ten Things You Can Do in R That You Would've Done in Microsoft Excel
Ten Tips on Working with Packages
Appendix: Installing R and RStudio
Index
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