Description Usage Arguments Value Examples

biclustFunc is a binary clustering function using hierarchical clustering.

1 | ```
biclustFunc(Qmat, admixRatioThs = 0.5, method = "average")
``` |

`Qmat` |
is a Q matrix that contains admixture ratios of all individuals where the |

`admixRatioThs` |
is a threshold to determine that if a cluster has |

`method` |
is a method parameter of |

This function returns binary clustering results.

`heteroFlag` |
is a flag that represents a status whether a given cluster is heterogeneous (having sub-clusters). It is TRUE if |

`clusterInx` |
is a vector of clustering assignment where |

`meanDiffAdmixRatio` |
is a vector of magnitude-difference of admixture ratios. It is calculated by splitting a given cluster into two sub-clusters. Then, we take the absolute on the difference between mean admixture ratios of sub-clusters. |

`Qmat1` |
is a Q matrix of sub-cluster #1 after splitting a given cluster into two sub-clusters that contains admixture ratios of all individuals where the |

`Qmat2` |
is a Q matrix of sub-cluster #2 after splitting a given cluster into two sub-clusters that contains admixture ratios of all individuals where the |

`maxDiffAdmixRatio` |
is a maximum of magnitude-difference of admixture ratios for a given cluster before splitting into two sub-clusters. |

1 2 | ```
# Running biclustFunc on Q matrix of 27 human population dataset where K = 12
obj<-biclustFunc(Qmat=ipADMIXTURE::human27pop_Qmat[[11]], admixRatioThs =0.15)
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.