generateFakeClusters: Generate fake cluster data

In sherrillmix/infiniter: Bayesian infinite mixture models

Description

Generate fake cluster data

Usage

generateFakeClusters(nCluster = 2, nPoints = 100, nIpd = 6, nBase = 3,
  nVariantBases = min(3, nBase), betweenSd = 3, withinSd = 1)

Arguments

nCluster	number of clusters
nPoints	number of points within each cluster
nIpd	number of IPDs to generate
nBase	number of bases to generate
nVariantBases	number of bases in each PWM varying from equal proportions
betweenSd	cluster centers are normally distributed around 0 with this standard deviation
withinSd	points are normally distributed around cluster centers with this standard deviation

Value

list with matrix giving point locations (rows are points, columns are dimensions), a matrix of cluster centers, a vector of sequences, a list of PWMs (rows are positions, columns are bases) and vector of cluster IDs

Author(s)

Scott Sherrill-Mix [e-mail]

Examples

clusts<-generateFakeClusters()
plot(clusts$ipds,col=clusts$ids)
points(clusts$centers,pch='x',col=1:nrow(clusts$centers),cex=2)

sherrillmix/infiniter documentation built on May 29, 2019, 9:24 p.m.