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☆☆☆☆☆

這本書在R語言入門係列書裏可以說很經典瞭，經常有人推薦，所以也是我最先看的幾本R語言書之一。當時就跳著看的，現在研究完Tidyverse之後迴過頭來看，慶幸當時沒有花太多時間和精力在這本書上。原因很簡單，就像標題上說的，這本書是基於Base R的，如果你接觸過Tidyverse之後...

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☆☆☆☆☆

這本書，沒有太多的介紹R軟件的原理以及R語言本身的復雜特性，而是從實用的統計研究角度分析R在數據處理，模型構建，以及圖形操作上的由淺入深的應用。如果你想學R的統計應用，這本書很實在，而且命令豐富；如果你是著眼於R的編程，那麼這本書還不是太全麵。建議把它當做...

評分☆☆☆☆☆

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評分☆☆☆☆☆

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