| Library: | xclust |
| See also: | aerlb lpdist distance |
| Quantlet: | discrim | |
| Description: | computes the discrimination function for an observation x given the samples x1 and x2 |
| Usage: | d = discrim(x1, x2, x) | |
| Input: | ||
| x1 | n1 x p matrix, observations of sample 1 | |
| x2 | n2 x p matrix, observations of sample 2 | |
| x | p x 1 vector, the observations to be classified | |
| Output: | ||
| d | 1 x 2 vector, the distance to the two samples | |
library("xplore")
library("xclust")
randomize(101)
x1 = normal(100, 2)
x2 = normal(100, 2) + 0.8
x = normal(2) + 0.6
d = discrim(x1, x2, x)
d
Contents of d [1,] 3.2074 0.5154