Chapter 1 Data Visualization with ggplot2
Chapter 2 Workflow: Basics
Chapter 3 Data Transformation with dplyr
Chapter 4 Workflow: Scripts
Chapter 5 Exploratory Data Analysis
Chapter 6 Workflow: Projects
Chapter 7 Tibbles with tibble
Chapter 8 Data Import with readr
Chapter 9 Tidy Data with tidyr
Chapter 10 Relational Data with dplyr
Chapter 11 Strings with stringr
Chapter 12 Factors with forcats
Chapter 13 Dates and Times with lubridate
Chapter 14 Pipes with magrittr
Chapter 15 Functions
Chapter 16 Vectors
Chapter 17 Iteration with purrr
Chapter 18 Model Basics with modelr
Chapter 19 Model Building
Chapter 20 Many Models with purrr and broom
Chapter 21 R Markdown
Chapter 22 Graphics for Communication with ggplot2
Chapter 23 R Markdown Formats
Chapter 24 R Markdown Workflow
· · · · · · (收起)
Chapter 2 Workflow: Basics
Chapter 3 Data Transformation with dplyr
Chapter 4 Workflow: Scripts
Chapter 5 Exploratory Data Analysis
Chapter 6 Workflow: Projects
Chapter 7 Tibbles with tibble
Chapter 8 Data Import with readr
Chapter 9 Tidy Data with tidyr
Chapter 10 Relational Data with dplyr
Chapter 11 Strings with stringr
Chapter 12 Factors with forcats
Chapter 13 Dates and Times with lubridate
Chapter 14 Pipes with magrittr
Chapter 15 Functions
Chapter 16 Vectors
Chapter 17 Iteration with purrr
Chapter 18 Model Basics with modelr
Chapter 19 Model Building
Chapter 20 Many Models with purrr and broom
Chapter 21 R Markdown
Chapter 22 Graphics for Communication with ggplot2
Chapter 23 R Markdown Formats
Chapter 24 R Markdown Workflow
· · · · · · (收起)
具體描述
http://r4ds.had.co.nz/
用戶評價
評分
##贊美Hadley!!
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##入門書籍，tidyverse占瞭大頭，基本上也是很主流的包比如ggplot2還有tibble這種，重點是第四部分的函數建模部分，主要是瞭解lm（x~y）的寫法。至於第五章講交互的意義就真的很迷瞭，真的不是拿來湊數的？
評分
##刷新對R的三觀
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##大牛的作品，果然不一般，清楚簡明易懂。
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##tidyverse太美啦！
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##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。
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##手頭常備。
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##入門書。Tidyverse 的哲學可看作 R 的新（現代）範式，目的就是取其精華、去其糟粕。請 pandas/matplotlib/sklearn 諸君繼續努力，因為我被迫用你們時經常懷念 tidyverse 的某些優雅與效率
##Hadley Wickham的數據哲學