r_code

r_code

可以参考以下目录，也可以参考

1. Bryan (2019) 的 slides
2. Gillespie (2018) 主要写的是提升 R 性能方面的规范，如使得自定义函数向量化等
3. Wickham (2014) 非常全面，也可以专门最新的h5页面，但是量有点大，不适合入门
4. DataCamp R Programming Track 的知识覆盖面，近似 Wickham (2014)，总共需要40小时，因此可以一定程度替代
   1. R Base Notes
   2. R 数据导入学习笔记
   3. R 数据清洗学习笔记
   4. R 函数化编程学习笔记
   5. R 函数书写 学习笔记
5. 最近 Hadley Wickham 的 The tidyverse style guide

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**Code of Conduct**

Please note that the `r_code` project is released with a [Contributor Code of Conduct](https://github.com/JiaxiangBU/r_code/blob/master/CODE_OF_CONDUCT.md).
By contributing to this project, you agree to abide by its terms.

**License**

CC0 © [Jiaxiang Li](https://github.com/JiaxiangBU/r_code/blob/master/LICENSE.md)

参考文献

Bryan, Jenny. 2019. “Code Smells and Feels.” Github. 2019. <https://github.com/JiaxiangBU/code-smells-and-feels>.

Gillespie, Colin. 2018. “Writing Efficient R Code.” 2018. <https://www.datacamp.com/courses/writing-efficient-r-code>.

Wickham, Hadley. 2014. *Advanced R*. 1st ed. Chapman & Hall/Crc the R Series. Routledge.