print clustering method and distance measure used in
hierarchical clustering, \(p\)-values and related statistics for
a pvclust object.
# S3 method for pvclust
print(x, which=NULL, digits=3, ...)object of class pvclust.
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.
integer indicating the precision to be used in rounding.
other parameters used in the function.
this function prints \(p\)-values and some related statistics.
AU (Approximately Unbiased) \(p\)-value, which is more accurate than BP value as unbiased \(p\)-value. It is computed by multiscale bootstrap resampling.
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.
estimated standard errors for au and
bp, respectively.
values related to geometric aspects of
hypotheses. v is signed distance and c is curvature of
the boundary.
\(p\)-values of chi-square test based on asymptotic theory.