R获取多维列联表中与最大值关联的级别

用一个简单的向量

x <- sample(letters[1:3], size=20, replace=T)

---

但是请注意，由于RAM问题，我无法对我的数据使用

data.frame

调用。

您可以使用

哪个
与
arr.ind=TRUE
：

mapply("[", 
       dimnames(y), 
       as.data.frame(which(y == max(y), arr.ind = TRUE)))
# c1  c2  c3 
#"c" "d" "j"

mapply("[", 
       dimnames(y), 
       as.data.frame(which(y == min(y), arr.ind = TRUE)))
#      c1  c2  c3 
# [1,] "a" "d" "f"
# [2,] "b" "d" "g"
# [3,] "c" "d" "g"
# [4,] "b" "e" "g"
# [5,] "a" "d" "h"
# [6,] "b" "d" "h"
# [7,] "c" "d" "h"
# [8,] "c" "e" "h"
# [9,] "a" "e" "i"
#[10,] "b" "e" "i"
#[11,] "c" "e" "i"

set.seed(5)
x <- data.frame(c1=sample(letters[1:3], size=30, replace=T),
                c2=sample(letters[4:5], size=30, replace=T),
                c3=sample(letters[6:10], size=30, replace=T))
y <- table(x)

print(names(y)[y==max(y)])
NULL

z <- data.frame(y)
z[z$Freq==max(z$Freq), 1:3]
   c1 c2 c3
27  c  d  j

mapply("[", 
       dimnames(y), 
       as.data.frame(which(y == max(y), arr.ind = TRUE)))
# c1  c2  c3 
#"c" "d" "j"

mapply("[", 
       dimnames(y), 
       as.data.frame(which(y == min(y), arr.ind = TRUE)))
#      c1  c2  c3 
# [1,] "a" "d" "f"
# [2,] "b" "d" "g"
# [3,] "c" "d" "g"
# [4,] "b" "e" "g"
# [5,] "a" "d" "h"
# [6,] "b" "d" "h"
# [7,] "c" "d" "h"
# [8,] "c" "e" "h"
# [9,] "a" "e" "i"
#[10,] "b" "e" "i"
#[11,] "c" "e" "i"