该cut函数的文档提供了“一种提取断点的方法”
aaa <- c(1,2,3,4,5,2,3,4,5,6,7)
labs <- levels(cut(aaa, 3))
cbind(lower = as.numeric( sub("\\((.+),.*", "\\1", labs) ),
      upper = as.numeric( sub("[^,]*,([^]]*)\\]", "\\1", labs) ))
#      lower upper
# [1,] 0.994  3.00
# [2,] 3.000  5.00
# [3,] 5.000  7.01
是否有另一种内置的方式来提取断点?
1) read.table我不认为有任何直接用于此的东西,但它更短:
read.table(text = gsub("[^.0-9]", " ", labs), col.names = c("lower", "upper"))
给出这个 data.frame:
  lower upper
1 0.994  3.00
2 3.000  5.00
3 5.000  7.01
2) gsubfn::strapply这是另一种可能性:
library(gsubfn)
strapply(labs, "[.0-9]+", as.numeric, simplify = rbind)
给出这个矩阵:
      [,1] [,2]
[1,] 0.994 3.00
[2,] 3.000 5.00
[3,] 5.000 7.01
3) gsubfn::read.pattern和另一个:
library(gsubfn)
read.pattern(text = labs, pattern = ".(.+),(.+).", col.names = c("lower", "upper"))
给予:
  lower upper
1 0.994  3.00
2 3.000  5.00
3 5.000  7.01