R in Action

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R in Action

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ISBN: 9781617291388
作者: Robert Kabacoff
出版社: Manning Publications
发行时间: 2015 -6
装订: Paperback
价格: USD 59.99
页数: 608

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Data Analysis and Graphics with R

Robert Kabacoff   

简介

R is a powerful tool for statistical computing and graphics. Unlike general purpose programming languages, R speaks the language of data analysis. It's perfect for business pros, social scientists, and researchers who need to make sense out of raw information. It runs on all important platforms and provides thousands of useful modules and utilities to solve the most common data-crunching tasks you'll face in your daily work.
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 totally-revised second edition includes new chapters on time series analysis, cluster analysis, and classification methodologies, including decisions trees, random forests, and support vector machines.

contents

PART 1: GETTING STARTED
1. Introduction To R - FREE
2. Creating a Dataset - AVAILABLE
3. Getting started with graphs - AVAILABLE
4. Basic Data Management
5. Advanced data management
PART 2: BASIC METHODS
6. Basic Graphs
7. Basic Statistics
PART 3: INTERMEDIATE METHODS
8. Regression
9. Analysis of Variance
10. Power Analysis
11. Intermediate Graphs
12. Resampling statistics and bootstrapping
PART 4: ADVANCED METHODS
13. Generalized Linear Models
14. Principal Components and Factor Analysis
15. Time Series Analysis
16. Cluster Analysis
17. Classification Methods
18. Advanced methods for missing data
19. Advanced Graphs
20. Advanced R Programming
APPENDIXES:
A Graphic user interfaces
B Customizing the startup environment
C Exporting Data from R
D Creating publication-quality output
E Matrix Algebra in R
F Packages used in this book
G Working with large datasets
H Updating an R installation

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