将数据分配给 cut (R) 生成的级别

Question

我用 cut:

创建了一个因子变量

mycuts=cut(c(1,2,3,4,5,6,7,8),breaks = 3)
mycuts
[1] (0.993,3.33] (0.993,3.33] (0.993,3.33] (3.33,5.67]  (3.33,5.67] 
[6] (5.67,8.01]  (5.67,8.01]  (5.67,8.01] 
Levels: (0.993,3.33] (3.33,5.67] (5.67,8.01]

现在我想将向量 otherdata 分配到与 cut 相同的间隔。

otherdata=c(4,8)

otherdata 的新 cut 级别与 data 级别不同，我只能设置标签。

所以，我试过了

factor(otherdata,levels=levels(mycuts))

[1] <NA> <NA>
Levels: (0.993,3.33] (3.33,5.67] (5.67,8.01]

但是不行。

期望的行为（更新评论）：

[1] (3.33,5.67] (5.67,8.01] 等级：(0.993,3.33] (3.33,5.67] (5.67,8.01]

Answer 1

只需将中断保存到一个值并重新使用它们：

data=c(1,2,3,4,5,6,7,8)
mn=min(data)
mx=max(data)
d=(mx-mn)/3
br=seq(from=mn,to=mx,by=d)
mycuts=cut(data,breaks = br, include.lowest=TRUE)
otherdata=c(4,8)
cut(otherdata,breaks = br, include.lowest=TRUE)

Answer 2

# breaks vector obtained in a way suggested in ?cut
breaks <- unique(as.numeric(c(sub("\((.+),.*", "\1", mycuts), 
                              sub("[^,]*,([^]]*)\]", "\1", mycuts))))
cut(c(4, 8), breaks = breaks)
# [1] (3.33,5.67] (5.67,8.01]
# Levels: (0.993,3.33] (3.33,5.67] (5.67,8.01]

将数据分配给 cut (R) 生成的级别

Assign data to levels produced by cut (R)

r

r-factor