HClust: HClust

In xinchoubiology/Rcppsva: Rcpp Integration Surrogate Variable Analysis

Description

Hierachical Clustering function based on fast parallel hierachical clustering

Usage

HClust(data = NULL, method = "average", distance = "euclidean", p = 2,
  sign = c("S", "U"))

Arguments

data	matrix of beta data
method	The agglomeration method to be used. This must be one of "ward", "single", "complete" or "average"
distance	The distance measure to be used. This must be one of "euclidiean", "manhattan", "maximum", or "minkowski".
p	power of the Minkowski distance.
sign	Optional 'U' for unsigned and 'S' for signed dissimilarity

Value

An object of class *hclust* which describes the tree produced by the clustering process

Author(s)

Xin Zhou [e-mail]

xinchoubiology/Rcppsva documentation built on May 4, 2019, 1:06 p.m.