R for Data Science

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Hadley Wickham
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O'Reilly Media 2016-12-25 Paperback 9781491910399

具体描述

Hadley Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in Statistics at Rice University. He is an active memberof the R community, has written and contributed to over 30 R packages, and won the John Chambers Award for Statistical Computing for his work developing tools for data reshaping and visualization. His research focuses on how to make data analysis better, faster and easier, with a particular emphasis on the use of visualization to better understand data and models.

Garrett Grolemund is a statistician, teacher and R developer who currently works for RStudio. He sees data analysis as a largely untapped fountain of value for both industry and science. Garrett received his Ph.D at Rice University in Hadley Wickham's lab, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide every data analysis.

Garrett is passionate about helping people avoid the frustration and unnecessary learning he went through while mastering data analysis. Even before he finished his dissertation, he started teaching corporate training in R and data analysis for Revolutions Analytics. He's taught at Google, eBay, Axciom and many other companies, and is currently developing a training curriculum for RStudio that will make useful know-how even more accessible.

Outside of teaching, Garrett spends time doing clinical trials research, legal research, and financial analysis. He also develops R software, he's co-authored the lubridate R package--which provides methods to parse, manipulate, and do arithmetic with date-times--and wrote the ggsubplot package, which extends the ggplot2 package.

http://r4ds.had.co.nz/

用户评价

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##基本上是hadley在安利他的各种包tidyr, dplyr, purrr, ggplot2,hadley的东西有更高的抽象,用起来还是比较舒服的。只不过base包的东西已经很熟,表示老狗学新把戏的意愿不是很高。本书在手机上看完,囧rz..

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##没太明白tidy data 有啥用...好像和一般的用法也没啥区别

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##读得不太认真,有需要再复习吧。R毕竟不是专门做统计的,大部分场合下当然没有stata之类直观,纵有万般好,也不必过分推崇。我决定实用主义地穿插着用各种软件,虽然姿势难看,但是省劲儿啊……

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##tidyverse太美啦!

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##辗转于matlab/python+pandas/R后,终于发现了R配合tidyverse配合ggplot2配合RStudio,才是最契合交互式代码+图像快速探索数据,形成数据分析思路的终极利器。

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