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R in Action

Name: R in Action
Brand: MANNING PUBN
Price: 145.99 AUD
Availability: BackOrder

Data Analysis and Graphics with R

By: Robert Kabacoff

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Paperback | 27 August 2011

At a Glance

Paperback
472 Pages

Dimensions(cm)
23.37 x 18.85 x 2.69

New Edition

Published: 11th June 2015

Paperback

$145.99

or 4 interest-free payments of $36.50 with

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

Summary

R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of 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 utilities. This makes R a great way to get meaningful information from mountains of raw data.
About the Book
R in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
What's Inside

Practical data analysis, step by step
Interfacing R with other software
Using R to visualize data
Over 130 graphs
Eight reference appendixes

================================

Part I Getting started

Introduction to R
Creating a dataset
Getting started with graphs
Basic data management
Advanced data management

Part II Basic methods

Basic graphs
Basic statistics

Part III Intermediate methods

Regression
Analysis of variance
Power analysis
Intermediate graphs
Re-sampling statistics and bootstrapping

Part IV Advanced methods

Generalized linear models
Principal components and factor analysis
Advanced methods for missing data
Advanced graphics

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