用mutate对数值变量进行分类 [英] Categorize numeric variable with mutate

问题描述

我想使用 dplyr 在 data.frame 对象中对数字变量进行分类不知道该怎么做）。

I would like to a categorize numeric variable in my data.frame object with the use of dplyr (and have no idea how to do it).

如果没有 dplyr ，我可能会做类似的事情：

Without dplyr, I would probably do something like:

df <- data.frame(a = rnorm(1e3), b = rnorm(1e3))
df$a <- cut(df$a , breaks=quantile(df$a, probs = seq(0, 1, 0.2)))

就会完成。但是，我强烈希望在<中使用 dplyr 函数（我想是 mutate ）来做到这一点。 code> chain 序列的其他动作我确实在我的 data.frame 上执行。

and it would be done. However, I strongly prefer to do it with the use of some dplyr function (mutate, I suppose) in the chain sequence of other actions I do perform over my data.frame.

推荐答案

set.seed(123)
df <- data.frame(a = rnorm(10), b = rnorm(10))

df %>% mutate(a = cut(a, breaks = quantile(a, probs = seq(0, 1, 0.2))))

给予：

                 a          b
1  (-0.586,-0.316]  1.2240818
2   (-0.316,0.094]  0.3598138
3      (0.68,1.72]  0.4007715
4   (-0.316,0.094]  0.1106827
5     (0.094,0.68] -0.5558411
6      (0.68,1.72]  1.7869131
7     (0.094,0.68]  0.4978505
8             <NA> -1.9666172
9   (-1.27,-0.586]  0.7013559
10 (-0.586,-0.316] -0.4727914

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