Kcluster.groups: A function to identify all members of a cluster, generated...
In hughesevoanth/iPVs: Identification of principal variables and an estimate of the number of variables in a data set.
View source: R/Kcluster.groups.R
Kcluster.groups R Documentation
A function to identify all members of a cluster, generated from iterative tree cuts
Description
A function to identify all members of a cluster, generated from iterative tree cuts
Usage
Kcluster.groups(ind_pv_iterations)
Arguments
ks
a list of k ( cutree() ) group identifiers for each iterative tree cut performed to generate a fully independent listof PVs.
pvs
a vector of identified PVs (principal variables)
Examples
Kcluster.groups()
hughesevoanth/iPVs documentation built on July 26, 2023, 3:21 p.m.
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View source: R/Kcluster.groups.R
| Kcluster.groups | R Documentation |
A function to identify all members of a cluster, generated from iterative tree cuts
Description
A function to identify all members of a cluster, generated from iterative tree cuts
Usage
Kcluster.groups(ind_pv_iterations)
Arguments
ks |
a list of k ( cutree() ) group identifiers for each iterative tree cut performed to generate a fully independent listof PVs. |
pvs |
a vector of identified PVs (principal variables) |
Examples
Kcluster.groups()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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