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: kernel
See also: highepa

Quantlet: highgau
Description: highgau computes the multivariate higher order kernel derived from the gaussian kernel

Usage: y = highgau(x, {q})
Input:
x n x p matrix
{q} order of the kernel, default is 2, can be 4, 6, 8
Output:
y n x 1 matrix

Example:

library("kernel") 

x = aseq(-4, 81, 0.1) 

y = highgau(x,6) 

t=createdisplay(1,1)                                      

show(t,1,1,x~y)                                    

Result:

The kernel is pictured  


Library: kernel
See also: highepa

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: Lijian Yang, 970719
(C) MD*TECH Method and Data Technologies, 21.9.2000