Description Usage Arguments Value Author(s) Examples

Generate fake cluster data

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

`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 |

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

Scott Sherrill-Mix [email protected]

1 2 3 |

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