民意調查分析的關鍵流程01：變數編碼

Published by 劉正山, April 9th, 2020

我們今日將用這個例子進階學習（含復習）資料編碼的流程:

Recoding Variables: https://cran.r-project.org/web/packages/sjmisc/vignettes/recodingvariables.html

再來認識如何用tidyverse的模式進行編碼：

Pipe-friendly workflow with sjPlot, sjmisc and sjstats:

https://strengejacke.wordpress.com/2016/11/14/pipe-friendly-workflow-with-sjplot-sjmisc-and-sjstats-part-1-rstats-tidyverse/

再來看看另一個運用sjmisc於European Social Survey的實例：

https://strengejacke.wordpress.com/2016/12/22/exploring-the-european-social-survey-ess-pipe-friendly-workflow-with-sjmisc-part-2-rstats-tidyverse/

此講的補充材料：tidyverse的簡介及cheatsheet

Simplify Your Code with %>%: http://uc-r.github.io/pipe
sjmisc cheat sheet: http://strengejacke.de/sjmisc-cheatsheet.pdf
tidyverse cheat sheet: https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Tidyverse+Cheat+Sheet.pdf
dplyr overview: https://dplyr.tidyverse.org/

https://cran.r-project.org/web/packages/sjmisc/vignettes/recodingvariables.html

comments powered by Disqus