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.
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.
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。
評分亮點全在第八章 「如果你和是我一樣是從第一章開始一路死磕過來的 ~當你看到~Page158到Page160的時候~ 就知道 前麵的一切都是值得的。」 第六章建議學完第三部分再迴過頭來看~因為圖形部分在分析裏麵確實不算是「前站」 第七章需要一定的統計學嘗試常識,我聽從作者的建議...
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...
R的應用,領域比較基礎和廣泛,作為入門教材配閤R語言核心技術手冊
评分2nd edition
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!
评分到時候瞭還是用tidyverse吧
评分@2015-11-07 00:35:02
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