Find Clusters with High/Low P-values
find clusters with relatively high/low
p-values. pvrect
and lines
(S3 method for class
pvclust
) highlight such clusters in existing plot, and
pvpick
returns a list of such clusters.
pvpick(x, alpha=0.95, pv="au", type="geq", max.only=TRUE) pvrect(x, alpha=0.95, pv="au", type="geq", max.only=TRUE, border=NULL, ...) ## S3 method for class 'pvclust' lines(x, alpha=0.95, pv="au", type="geq", col=2, lwd=2, ...)
x |
object of class |
alpha |
threshold value for p-values. |
pv |
character string which specifies the p-value to be
used. It should be one of |
type |
one of |
max.only |
logical. If some of clusters with high/low
p-values have inclusion relation, only the largest cluster is
returned (or displayed) when |
border |
numeric value which specifies the color of borders of rectangles. |
col |
numeric value which specifies the color of lines. |
lwd |
numeric value which specifies the width of lines. |
... |
other graphic parameters to be used. |
pvpick
returns a list which contains the following values.
clusters |
a list of character string vectors. Each vector corresponds to the names of objects in each cluster. |
edges |
numeric vector of edge numbers. The i'th element
(number) corresponds to the i'th name vector in
|
Ryota Suzuki suzuki@ef-prime.com
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