Is there a way to do something like a cut() function for binning numeric values in a dplyr table? I'm working on a large postgres table and can currently either write a case statement in the sql at the outset, or output unaggregated data and apply cut(). Both have pretty obvious downsides... case statements are not particularly elegant and pulling a large number of records via collect() not at all efficient.
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试):
问题:
回答1:
Just so there's an immediate answer for others arriving here via search engine, the n-breaks form of cut is now implemented as the ntile function in dplyr:
> data.frame(x = c(5, 1, 3, 2, 2, 3)) %>% mutate(bin = ntile(x, 2))
x bin
1 5 2
2 1 1
3 3 2
4 2 1
5 2 1
6 3 2
