R中的cut()问题

发布于 2024-10-15 11:47:30 字数 317 浏览 5 评论 0原文

我想根据我提供的概率将科目分配到班级。我会在不同的情况下以不同的价值观来做这件事。有时，我希望特定类别的概率为 0。我一直在使用，

classlist <- cut(runif(p), c(0, pdrop, ptitrate, pcomplete, pnoise, 1), labels = c("D", "T", "C", "N", "O"))

但当两个 p 变量相同时，此方法会失败。我可以使它们有最小的差异，例如 pdrop = .2 ptitrate = .200001。但还有更好的办法吗？

谢谢

彼得

原文

I want to assign subjects to classes based on probabilities that I provide. I will be doing this in a variety of cases, with different values. Sometimes, I want the probability of a particular class to be 0. I've been using

classlist <- cut(runif(p), c(0, pdrop, ptitrate, pcomplete, pnoise, 1), labels = c("D", "T", "C", "N", "O"))

but this fails when two of the p variables are the same. I could make them different by minimal amounts e.g. pdrop = .2 ptitrate = .200001. But is there some better way?

Thanks

Peter

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凌乱心跳 2024-10-22 11:47:30

我建议sample()：

> p         <- 100
> groups    <- c("D", "T", "C", "N", "O")
> probVec   <- c(0.2, 0.2, 0.3, 0.25, 0.05)
> classlist <- factor(sample(groups, size=p, replace=TRUE, prob=probVec))
> table(classlist)
classlist
 C  D  N  O  T 
26 16 28  5 25

I suggest sample():

> p         <- 100
> groups    <- c("D", "T", "C", "N", "O")
> probVec   <- c(0.2, 0.2, 0.3, 0.25, 0.05)
> classlist <- factor(sample(groups, size=p, replace=TRUE, prob=probVec))
> table(classlist)
classlist
 C  D  N  O  T 
26 16 28  5 25

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