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R in Action : Data Analysis and Graphics with R by Rob Kabacoff (2015, Trade Paperback)
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R IN ACTION: DATA ANALYSIS AND GRAPHICS WITH R By Robert Kabacoff **BRAND NEW**.
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About this product
Product Identifiers
PublisherManning Publications Co. LLC
ISBN-101617291382
ISBN-139781617291388
eBay Product ID (ePID)166484904
Product Key Features
Number of Pages608 Pages
LanguageEnglish
Publication NameR in Action : Data Analysis and Graphics with R
Publication Year2015
SubjectProgramming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing, Databases / General
TypeTextbook
AuthorRob Kabacoff
Subject AreaMathematics, Computers
FormatTrade Paperback
Dimensions
Item Height1.2 in
Item Weight31.7 Oz
Item Length9.3 in
Item Width7.5 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
LCCN2015-458096
Dewey Edition23
IllustratedYes
Dewey Decimal519.502855133
SynopsisSummary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any data-crunching or presentation challenge you're likely to face. R runs on all important platforms and is used by thousands of major corporations and institutions worldwide. About the Book R in Action, Second Edition teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the book offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. And this expanded second edition includes new chapters on forecasting, data mining, and dynamic report writing. What's Inside Complete R language tutorial Using R to manage, analyze, and visualize data Techniques for debugging programs and creating packages OOP in R Over 160 graphs About the Author Dr. Rob Kabacoff is a seasoned researcher and teacher who specializes in data analysis. He also maintains the popular Quick-R website at statmethods.net. Table of Contents PART 1 GETTING STARTED Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management PART 2 BASIC METHODS Basic graphs Basic statistics PART 3 INTERMEDIATE METHODS Regression Analysis of variance Power analysis Intermediate graphs Resampling statistics and bootstrapping PART 4 ADVANCED METHODS Generalized linear models Principal components and factor analysis Time series Cluster analysis Classification Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS Advanced graphics with ggplot2 Advanced programming Creating a package Creating dynamic reports Advanced graphics with the lattice package available online only from manning.com/kabacoff2, DESCRIPTION R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. R in Action, Second Edition is language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps that real data analysts use to acquire their data, get it into shape, analyze it, and produce meaningful results that they can provide to clients. RETAIL SELLING POINTS Step-by-step guide to practical data analysis Gives quick access to the R language Written by seasoned researcher Uses over 130 graphics AUDIENCE This book is for social scientists, medical and pharmaceutical researchers, professors and students in quantitative fields, data analysts, data mining specialists, and statistical programmers who have a sense of what they want to do, but not how to do it in R. ABOUT THE TECHNOLOGY R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and, RETAIL SELLING POINTS Step-by-step guide to practical data analysis Gives quick access to the R language Written by seasoned researcher Uses over 130 graphics AUDIENCE This book is for social scientists, medical and pharmaceutical researchers, professors and students in quantitative fields, data analysts, data mining specialists, and statistical programmers who have a sense of what they want to do, but not how to do it in R.
LC Classification NumberQA276.45.R3
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Ratings and Reviews
Most relevant reviews
- Dec 20, 2018
Bad printing quality and wrinkled cover
When the book arrived, it looked as used not new as it is supposed to be. Cover was wrinkled, and a little dirty. The paper quality was bad, very thin and paper color was grey. There were some pages had stains on them. Overall this purchase doesn't meet my expectations.Verified purchase: YesCondition: New
- Sep 26, 2018
Good
Good quality book printVerified purchase: YesCondition: New
- Apr 03, 2023
good
goodVerified purchase: YesCondition: Pre-owned
