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Sim.DiffProc (version 2.5)

WNG: Creating White Noise Gaussian

Description

Simulation white noise gaussian.

Usage

WNG(N, t0, T, m, sigma2, output = FALSE)

Arguments

N
size of process.
t0
initial time.
T
final time.
m
mean.
sigma2
variance.
output
if output = TRUE write a output to an Excel (.csv).

Value

  • data.frame(time,x) and plot of process.

Examples

Run this code
## White Noise Gaussian 
 WNG(N=1000,t0=0,T=1,m=0,sigma2=4)

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