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/
##讀得不太認真,有需要再復習吧。R畢竟不是專門做統計的,大部分場閤下當然沒有stata之類直觀,縱有萬般好,也不必過分推崇。我決定實用主義地穿插著用各種軟件,雖然姿勢難看,但是省勁兒啊……
評分##基本上是hadley在安利他的各種包tidyr, dplyr, purrr, ggplot2,hadley的東西有更高的抽象,用起來還是比較舒服的。隻不過base包的東西已經很熟,錶示老狗學新把戲的意願不是很高。本書在手機上看完,囧rz..
評分 評分 評分 評分 評分##Hadley Wickham不僅一人支撐起瞭R的半壁江山,還精心教育社區成員數據分析的正確姿勢。
評分非常好。之前一直因為R混亂的語法而棄用很多次,但是pandas和jupyter notebook又不夠靈活,勉強用python做瞭一段時間的數據分析。這次偶然接觸瞭tidyverse套件,瞬間覺得R非常清晰好用。另外這本的理念很好,完全摒棄瞭其他R工具書從頭到尾講統計的陋習。
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