Function to Generate Data According to the Supcluster Model

Description

Generates cluster data according to the used for supervised clustering

Usage

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generate.cluster.data(ratio,npats=80,clusts=c(12,8,12,12,6),
                sig=1,gamma=1,beta=c(-5,-2.5,0,2.5,5))

Arguments

ratio

The ratio τ^2/σ^2 of the variance of the random effects to the error variance of the features

npats

Number of observations in the data set.

clusts

The cluster identity of the features

sig

The error variance of the features.

gamma

The error variance of the outcome.

beta

The value of the regression coefficients

Value

A data frame which is npats times ngens+1 the last column is the outcome.

Author(s)

David A. Schoenfeld

See Also

supcluster