Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: xclust
See also: discrim distance lpdist

Macro: aerlb
Description: computes the Lachenbruch-Mickey unbiased estimate of the actual discrimination error rate

Usage: p = aerlb(x1, x2)
Input:
x1 n1 x p matrix (sample 1)
x2 n2 x p matrix (sample2)
Output:
p 2 x 1 vector, the estimate of the actual error rate (AER)

Example:
library("xplore")
library("xclust")
x1=normal(100, 2)
x2 = normal(50, 2) + 0.8  	
p = aerlb(x1, x2)
p
Result:

[1,] 0.250000 0.280000   

Library: xclust
See also: discrim distance lpdist

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Author: Wolfgang Härdle, 980221
(C) MD*TECH Method and Data Technologies, 17.8.2000