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

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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.

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

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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.

具体描述

读后感

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虽然看完了整本书，但是对R的理解仍然是皮毛；自己也参加了好几个编程课题，感觉还是差很多啊。现在又做了审计，真的离高深的学问又远了很多！之前特别想学GGplot2，但是复杂的公式以及没有相对应的压力；让人没有动力啊11111111111111111111111111111111111111111111111111111...

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很少涉及复杂的统计学原理，适合不想理会底层统计学原理的人学习，或者暂时不想理会统计学的人快速上手R。目前那在手头上，偶尔当作命令手册来翻阅。买这本书之前翻过几本其它的R语言学习教程，这本是个人认为最适合无统计学基础的人学习使用R的。用语方面，一如其它的外文书籍...

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R的基础内容覆盖比较全面，把基本和高级的用法分章节来讨论，适合初学者以及中级读者；其次，有几章是讲述R在统计方面的功能和应用，这部分很好，适合中高级的读者。因此，个人感觉书的内容比较充实，值得看看。

用户评价

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版权归作者所有，任何形式转载请联系作者。作者：你吱。（来自豆瓣）来源：https://book.douban.com/review/9237940/ 虽然看完了整本书，但是对R的理解仍然是皮毛；自己也参加了好几个编程课题，感觉还是差很多啊。现在又做了审计，真的离高深的学问又远了很多！之前特别想学GGplot2，但是复杂的公式以及没有相对应的压力；让人没有动力啊

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啃了一个多月终于啃完了，非常好的入门书籍，系统的讲述了各种实用操作，十分推荐！

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很与时俱进的一本参考书，覆盖了不少扩展包，结合网站一起用还不错

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2nd edition

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