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
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☆☆☆☆☆

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☆☆☆☆☆

我喜歡這本書，喜歡R語言，相比較其他數據處理方式,R語言對數據導入方式之多，和網絡抓取配閤之好，是它最大的優勢。對數據處理的高效也特彆棒，按照作者的說法，4G的內存處理上億條數據也不在話下，這真是很棒的利器。 manning係列的圖書，強調實戰，這本書也是...

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☆☆☆☆☆

用戶評價

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☆☆☆☆☆

版權歸作者所有，任何形式轉載請聯係作者。作者：你吱。（來自豆瓣）來源：https://book.douban.com/review/9237940/ 雖然看完瞭整本書，但是對R的理解仍然是皮毛；自己也參加瞭好幾個編程課題，感覺還是差很多啊。現在又做瞭審計，真的離高深的學問又遠瞭很多！之前特彆想學GGplot2，但是復雜的公式以及沒有相對應的壓力；讓人沒有動力啊

评分☆☆☆☆☆

用這本書入門的，非常好。

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☆☆☆☆☆

到時候瞭還是用tidyverse吧