R in Action pdf epub mobi txt 電子書下載2025

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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
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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☆☆☆☆☆

1、先看瞭《R for beginner》和《R in nutshell》再看的《R實戰（中文版》。因為看前兩本的時候都是看的英文版本，有一些參數，特彆是繪圖參數很多，看的不是很懂。《R實戰》中文版翻譯得很不錯，語言簡單易懂，相信沒有基礎的人看這本書也問題不大，如果沒有看過《R for begin...

評分☆☆☆☆☆

決定學R語言，是因為自己對數據分析很感興趣，又在工作中偶然認識瞭某谘詢公司閤作方妹子，所以請教瞭她。那時候我的Excel算很熟練瞭，Access也有一點基礎。但公司電腦太慢、分析太粗糙。妹子說公司的人用R、Python、SPSS頻率最高。知乎對R的評價也很不錯，於是先在廣州圖書館...

評分☆☆☆☆☆

我是2014年買的第一版，斷斷續續看瞭一些。這次剛好遇到圖靈齣瞭第二版，遂買來收藏一番。考慮到《R語言實戰（第2版）》比第一版貴瞭20RMB，厚瞭近200頁，想搞個大新聞，故拿兩本書比較一番。優點 1、第二版在前14章與第一版相差無異。主要是基本的R安裝、數據導入、初級數據...

評分☆☆☆☆☆

R的基礎內容覆蓋比較全麵，把基本和高級的用法分章節來討論，適閤初學者以及中級讀者；其次，有幾章是講述R在統計方麵的功能和應用，這部分很好，適閤中高級的讀者。因此，個人感覺書的內容比較充實，值得看看。

評分☆☆☆☆☆

這本書側重R語言實戰，以實際項目講解R的若乾常見應用場景。適閤新手上路。本書亦可作為統計方法實戰教程，迴歸、方差兩章展示瞭完整的統計分析的過程。比較欠缺的是，這本書已經有些年頭瞭，這些年R已經發生瞭很多的變化，統計也同樣發生瞭很多的變化。