pvclust_sv: A MVDA Function
In angy89/MVDA_package: Multi-View Biological Data Analysis

This function calculate clustering of single view patient prototypes by using pvclust packages.

1 2	pvclust_sv(prototype, hls_method = "ward", nboot = 100, t = 0.95, print = F, r = 1, print_folder = ".", dist.method = "correlation")

`prototype`	is the matrix of prototype we want to cluster
`hls_method`	is the the agglomeration method to be used for the hclust function. Default value is "ward".
`nboot`	is the number of bootstrap replications. The default is 100.
`r`	is numeric vector which specifies the relative sample sizes of bootstrap replications. The default is 1.
`dist.method`	is the distance measure to be used.

a list containing three field: pvclust.res is the pvclust clustering results. clustering is the vector with clustering assignment. center is the matrix with center prototypes.

angy89/MVDA_package documentation built on May 7, 2019, 8:58 p.m.