mgetDist: Multivariate Random Observations Generetor

In LuisBenavides/SNS.test: Sequential Normal Scores in Statistical Process Management for testing

Multivariate Random Observations Generetor

Description

Multivariate Random observations generator selected from several distributions with user defined mean and variance.

Usage

mgetDist(
  n,
  nv,
  mu = 0,
  sigma = NULL,
  correlation = 0,
  s = NULL,
  dists = NULL,
  dists.par = NULL
)

Arguments

n	scalar. Number of observations to be generated.
nv	scalar. Number of variables to be generated.
mu	scalar. Expected value of the desired distribution.
sigma	scalar. Standard deviation of the desired distribution.
correlation	scalar. Corralation between variables.
s	matrix. Correlation matrix of the variables
dists	vector of character string. Distribution of each variable. The length mus be the same as the number of variables. Select from: "Normal": Normal distribution (default). "Gamma": Gamma distribution.
dists.par	matrix For each variable (column), specify par.location: Location parameter of the desired distribution. Default 0. par.scale: Scale parameter of the desired distribution. Default 1. par.shape: Shape parameter of the desired distribution, Default 1. The number of columns must be the same as the number of variables.

Value

A matrix x with n observations generated following the selected distribution with its parameters.

Examples

mgetDist(n=5, nv=2, dists=c("Normal", "Normal"),dists.par= matrix(c(0,1,1,0,1,1), ncol=2))

LuisBenavides/SNS.test documentation built on June 25, 2022, 11:52 p.m.