pvclust: print.pvclust – R documentation

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print.pvclust

Print Function for Pvclust Object

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

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

`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.

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.

Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling

v2.2-0

GPL (>= 2)

Authors

Ryota Suzuki <suzuki@ef-prime.com>, Yoshikazu Terada <terada@sigmath.es.osaka-u.ac.jp>, Hidetoshi Shimodaira <shimo@i.kyoto-u.ac.jp>

Initial release

2019-11-19