g.X: g.X: Generating data for simulation

In sxz155/PFDA:

Description

This function simulate a data set by KL expansion with using a known values for eigenvalues and eigenvectors

Usage

g.X(N, n, e.val.x, e.vec.x, tau, mu, m)

Arguments

N	real number, number of observations
n	real number, number of grid points
e.val.x	real vector n*1, eigenvalues
e.vec.x	real valued matrix n*N, eigenvectors
tau	range of the uniform distribution in KL expansion
mu	real vector n*1, initial mean vector
m	positive integer, number of eigenvectors are going to be used

Value

a real valued matrix n*N

Examples

g.X(N=100,n=50,e.val.x=seq(1,0.1,length=50))

sxz155/PFDA documentation built on May 30, 2019, 10:40 p.m.