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.