R in Action

出版者:Manning Publications

作者:Robert Kabacoff

页数:608

出版时间:2015-6-6

价格:USD 59.99

装帧:Paperback

isbn号码:9781617291388

具体描述

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.

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.

目录信息

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
· · · · · · (收起)

读后感

我是2014年买的第一版，断断续续看了一些。这次刚好遇到图灵出了第二版，遂买来收藏一番。考虑到《R语言实战（第2版）》比第一版贵了20RMB，厚了近200页，想搞个大新闻，故拿两本书比较一番。 优点 1、第二版在前14章与第一版相差无异。主要是基本的R安装、数据导入、初级数据...  

我是2014年买的第一版，断断续续看了一些。这次刚好遇到图灵出了第二版，遂买来收藏一番。考虑到《R语言实战（第2版）》比第一版贵了20RMB，厚了近200页，想搞个大新闻，故拿两本书比较一番。 优点 1、第二版在前14章与第一版相差无异。主要是基本的R安装、数据导入、初级数据...  

重在实战！十五大案例，开启R语言实战之门金钥匙 重在实战！十五大案例，开启R语言实战之门金钥匙视频教程 重在实战！十五大案例，开启R语言实战之门金钥匙课程 重在实战！十五大案例，开启R语言实战之门金钥匙下载 重在实战！十五大案例，开启R语言实战之门金钥匙 重在实战！...  

这本书，没有太多的介绍R软件的原理以及R语言本身的复杂特性，而是从实用的统计研究角度分析R在数据处理，模型构建，以及图形操作上的由浅入深的应用。 如果你想学R的统计应用，这本书很实在，而且命令丰富； 如果你是着眼于R的编程，那么这本书还不是太全面。 建议把它当做...  

亮点全在第八章 「如果你和是我一样是从第一章开始一路死磕过来的 ~当你看到~Page158到Page160的时候~ 就知道 前面的一切都是值得的。」 第六章建议学完第三部分再回过头来看~因为图形部分在分析里面确实不算是「前站」 第七章需要一定的统计学尝试常识，我听从作者的建议...  

用户评价

很与时俱进的一本参考书，覆盖了不少扩展包，结合网站一起用还不错

@2015-11-07 00:35:02

到时候了还是用tidyverse吧

高效率的作者

到时候了还是用tidyverse吧