R in Action pdf epub mobi txt 电子书下载 2025

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出版者:Manning Publications

作者:Robert Kabacoff

出品人:

页数:608

译者:

出版时间:2015-6-6

价格:USD 59.99

装帧:Paperback

isbn号码:9781617291388

丛书系列:

图书标签:

R
统计学
数据处理
编程
计算语言学
统计
数据分析
Data_Science
R语言
数据分析
统计学
机器学习
数据挖掘
编程
统计建模
数据可视化
R in Action
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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

评分☆☆☆☆☆

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...

评分☆☆☆☆☆

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...

评分☆☆☆☆☆

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...

评分☆☆☆☆☆

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。