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R in Action

R in Action
作者:Robert Kabacoff
副标题:Data Analysis and Graphics with R
出版社:Manning Publications
出版年:2015-06
ISBN:9781617291388
行业:其它
浏览数:120

内容简介

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.

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作者简介

Dr. Rob Kabacoff is a seasoned researcher who specializes in data analysis. He has taught graduate courses in statistical programming and manages the Quick-R website at statmethods.net.

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目录

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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