Cluster Based Correction For Multiple Comparisons

cluster.make | Make clusters based on binary maps |

cluster.sum | Save sum for each cluster |

elimna | Remove any rows of data having missing values |

trimbt.ccmc | One sample percentile bootstrap test with cluster correction... |

trimparts | Compute the trimmed mean, effective sample size, and squared... |

trimse | Estimate the standard error of the trimmed mean The default... |

winvar | Compute the Winsorized variance for the data in the vector x.... |

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.