datagen: Multiple Normal Distribution Data Generation

In homnormal: Tests of Homogeneity of Variances

Multiple Normal Distribution Data Generation

Description

This function generates data from multiple normal distribution.

Usage

datagen(n, mu, sigma, tn = 1)

Arguments

n	Sample sizes of each group. n=c(n1,n2,...nk); for example: n=c(3, 4, 5).
mu	Mean of each group.mu=c(mu1,mu2,...muk); for example: mu=c(3, 4, 5).
sigma	Standard deviation of each group.sigma=c(sigma1,sigma2,...sigmak); for example: sigma=c(1, 2, 3).
tn	Trial number for all groups. Default of the parameter is 1. This parameter for use more than 1, is especially useful for resampling such as Monte Carlo, Parametric Bootstrap.

Value

a data matrix with size (n1,n2,...nk) with group number 1,2,...k at first row and random number with mnean mu=(mu1,mu2,...muk) and standard deviation sigma=(sigma1,sigma2,...sigmak)

Examples

n=c(3, 4, 5)
mu=c(3, 4, 5)
sigma=c(3, 4, 5)
F=datagen(n,mu,sigma);muh=F[1];S2h=F[2];x=F[3]
muh
S2h
x

# Following example especially useful for simulation based tecnhiques
# such as Monte Carlo, Parametric Bootstrap and comparison studies
# by using simulation.

 Fm=datagen(c(3, 4, 5),c(3, 4, 5),c(3, 4, 5),10);muhm=Fm[1];S2hm=Fm[2];xm=Fm[3]
muhm
S2hm
xm

homnormal documentation built on Feb. 16, 2023, 7:47 p.m.