本文介绍了在R中创建唯一的随机组ID的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在尝试创建一个唯一的,随机分配的(无替换)组ID,而不使用for循环。据我所知:
I am trying to create a unique, randomly assigned (without replacement) group id without using a for loop. This is as far as I got:
library(datasets)
library(dplyr)
data(iris)
iris <- iris %>% group_by(Species) %>% mutate(id = cur_group_id())
这给我每个虹膜$种的组ID,但是,我希望组ID是从c(1,2,3)随机分配的,而不是分配的根据数据集的顺序。
This gives me a group id for each iris$Species, however, I would like the group id to randomly assigned from c(1,2,3) as opposed to assigned based on the order of the dataset.
任何帮助创建该对象的方法都将非常有帮助!我相信有办法用dplyr做到这一点,但我很困惑...
Any help creating this would be very helpful! I am sure there is a way to do this with dplyr but I am stumped...
推荐答案
也许您可以玩一些技巧在 group_by
上通过添加 sample
操作,例如
Maybe you can play some tricks on group_by
by adding sample
operation, e.g.,
iris <- iris %>%
group_by(factor(Species, levels = sample(levels(Species)))) %>%
mutate(id = cur_group_id())
这篇关于在R中创建唯一的随机组ID的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!