作者:
Robert Kabacoff 出版社: Manning Publications 副标题: Data Analysis and Graphics with R 出版年: 2015-6-6 页数: 608 定价: USD 59.99 装帧: Paperback ISBN: 9781617291388
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...
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.
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
· · · · · ·
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
· · · · · ·
(更多)
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)
1、先看了《R for beginner》和《R in nutshell》再看的《R实战（中文版》。因为看前两本的时候都是看的英文版本，有一些参数，特别是绘图参数很多，看的不是很懂。《R实战》中文版翻译得很不错，语言简单易懂，相信没有基础的人看这本书也问题不大，如果没有看过《R for begin...
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0 有用 李丹 2020-04-27 08:16:05
用这本书入门的，非常好。
0 有用 错别字制造机 2021-07-05 17:14:58
很厚的基础，过分工具属性。缺少一定的数理逻辑，现在有更好的更实用教材。
0 有用 喫茶店 2017-05-05 15:25:54
娓娓道来的惬意感，个性十足的语言，时不时令人莞尔的吐槽，最关键的是实用。懒人拖延症如我，也只有这种有趣、操作性强的书能抓住我的心……
0 有用 周鑫 2019-01-13 18:07:51
R的应用，领域比较基础和广泛，作为入门教材配合R语言核心技术手册
0 有用 林二熱 2024-08-30 20:46:53 澳大利亚
1. 硬核，一开始就不用 Rtudio；2. 友好，做了什么，代码是什么，每行干什么，都讲；3. 编排细微，不用一小节好几页都忘记了在讲什么。目前就这样。然后就能算翻过了……