R in Action
Data Analysis and Graphics with R
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23 275 Ft
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Product details:
- Edition number 1
- Publisher Manning Publications
- Date of Publication 6 September 2011
- Number of Volumes Print PDF
- ISBN 9781935182399
- Binding Paperback
- No. of pages472 pages
- Size 234x187 mm
- Weight 792 g
- Language English 0
Categories
Long description:
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 TechnologyR 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 BookR 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
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Table of Contents
- Introduction to R
- Creating a dataset
- Getting started with graphs
- Basic data management
- Advanced data management
- Basic graphs
- Basic statistics
- Regression
- Analysis of variance
- Power analysis
- Intermediate graphs
- Re-sampling statistics and bootstrapping
- Generalized linear models
- Principal components and factor analysis
- Advanced methods for missing data
- Advanced graphics
