print.pvclust: Print Function for Pvclust Object

In pvclust: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling

Description

print clustering method and distance measure used in hierarchical clustering, p-values and related statistics for a pvclust object.

Usage

## S3 method for class 'pvclust'
print(x, which=NULL, digits=3, ...)

Arguments

x	object of class pvclust.
which	numeric vector which specifies the numbers of edges (clusters) of which the values are printed. If NULL is given, it prints the values of all edges. The default is NULL.
digits	integer indicating the precision to be used in rounding.
...	other parameters used in the function.

Value

this function prints p-values and some related statistics.

au	AU (Approximately Unbiased) p-value, which is more accurate than BP value as unbiased p-value. It is computed by multiscale bootstrap resampling.
bp	BP (Bootstrap Probability) value, which is a simple statistic computed by bootstrap resampling. This value tends to be biased as p-value when the absolute value of c (explained below) is large.
se.au, se.bp	estimated standard errors for au and bp, respectively.
v, c	values related to geometric aspects of hypotheses. v is signed distance and c is curvature of the boundary.
pchi	p-values of chi-square test based on asymptotic theory.

Author(s)

Ryota Suzuki [e-mail]

pvclust documentation built on Nov. 19, 2019, 5:07 p.m.