simulData-methods: Simulate a dataset from a given set of parameters in an...

In ClustMMDD: Variable Selection in Clustering by Mixture Models for Discrete Data

Description

Simulate a dataset from a given instance of modelKS containing a set of parameters.

Arguments

object	An instance of modelKS.
N	The size of the sample to simulate.
ploidy	The number of columns for each variable in the data. For example, ploidy = 2 for genotypic data from diploid individual.

Value

A list :

• [["data"]] : The simulated dataset.

• [["class"]] : The membership class.

Methods

signature(object = "modelKS", N = "numeric", ploidy = "numeric")

Simulate a dataset for a given set of parameters in a modelKS object.

Author(s)

Wilson Toussile

See Also

modelKS, exModelKS.

Examples

data(exModelKS)
exModelKS
exData = simulData(exModelKS, 1000, 2)
str(exData)
head(exData$data)
head(exData$class)

ClustMMDD documentation built on May 2, 2019, 2:44 p.m.