| Library: | xclust |
| See also: | measure recode kmeans agglom |
| Quantlet: | conting | |
| Description: | crosses two categorical variables (for instance partitions from cluster analysis) and builds up contingency table |
| Usage: | h = conting (x, y) | |
| Input: | ||
| x | n x 1 matrix partition of n points into k clusters | |
| y | n x 1 matrix partition of n points into l clusters | |
| Output: | ||
| h | k x l contingency table | |
; load the library xclust
library ("xclust")
; generate x data
x = #(1, 1, 1, 3, 3, 3, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3)
; generate y data
y = #(2, 2, 2, 3, 1, 1, 3, 3, 3, 3, 3, 2, 2, 3, 2, 2, 1, 1, 1, 2, 1)
conting(x, y)
Content of object h [1,] 0 7 1 [2,] 0 0 5 [3,] 6 1 1
| Library: | xclust |
| See also: | measure recode kmeans agglom |