R in Action

R in Action pdf epub mobi txt 電子書 下載2025

出版者:Manning Publications
作者:Robert Kabacoff
出品人:
頁數:608
译者:
出版時間:2015-6-6
價格:USD 59.99
裝幀:Paperback
isbn號碼:9781617291388
叢書系列:
圖書標籤:
  • R
  • 統計學
  • 數據處理
  • 編程
  • 計算語言學
  • 統計
  • 數據分析
  • Data_Science
  • R語言
  • 數據分析
  • 統計學
  • 機器學習
  • 數據挖掘
  • 編程
  • 統計建模
  • 數據可視化
  • R in Action
  • 技術書籍
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具體描述

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.

作者簡介

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.

目錄資訊

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)

讀後感

評分

这本书侧重R语言实战,以实际项目讲解R的若干常见应用场景。适合新手上路。 本书亦可作为统计方法实战教程,回归、方差两章展示了完整的统计分析的过程。 比较欠缺的是,这本书已经有些年头了,这些年R已经发生了很多的变化,统计也同样发生了很多的变化。  

評分

数据挖掘入门到精通—R语言视频教程 课程观看地址:http://www.xuetuwuyou.com/course/59 课程介绍 一、课程所用软件:R 3.2.2(64位) RStudio 二、课程涉及到的技术点: 1)R语言的基本语法、函数 2)R中实用性很强的包 3)模式识别、分类预测算法原理及其实现 三、课程学...  

評分

評分

我喜欢这本书,喜欢R语言,相比较其他数据处理方式,R语言对数据导入方式之多,和网络抓取配合之好,是它最大的优势。对数据处理的高效也特别棒,按照作者的说法,4G的内存处理上亿条数据也不在话下,这真是很棒的利器。 manning系列的图书,强调实战,这本书也是...  

評分

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...  

用戶評價

评分

很與時俱進的一本參考書,覆蓋瞭不少擴展包,結閤網站一起用還不錯

评分

娓娓道來的愜意感,個性十足的語言,時不時令人莞爾的吐槽,最關鍵的是實用。懶人拖延癥如我,也隻有這種有趣、操作性強的書能抓住我的心……

评分

啃瞭一個多月終於啃完瞭,非常好的入門書籍,係統的講述瞭各種實用操作,十分推薦!

评分

R的應用,領域比較基礎和廣泛,作為入門教材配閤R語言核心技術手冊

评分

啃瞭一個多月終於啃完瞭,非常好的入門書籍,係統的講述瞭各種實用操作,十分推薦!

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