treecut.pvs: A function to identify the principal variables in your...
In hughesevoanth/moosefun: Functions by Moose
treecut.pvs R Documentation
A function to identify the principal variables in your variable data set, given a defined tree cut height.
Description
This function to identify the principal variables in your variable data set, given a defined tree cut height.
Usage
treecut.pvs(tree, variabledata, cutheight)
Arguments
tree
a hclust object of you variables, built with the cormat and the hclust method "complete"
variabledata
your data.frame of variables used to generate your tree
cutheight
the height at which you wish to cut your tree
Examples
treecut.pvs()
hughesevoanth/moosefun documentation built on Aug. 22, 2022, 7:04 a.m.
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| treecut.pvs | R Documentation |
A function to identify the principal variables in your variable data set, given a defined tree cut height.
Description
This function to identify the principal variables in your variable data set, given a defined tree cut height.
Usage
treecut.pvs(tree, variabledata, cutheight)
Arguments
tree |
a hclust object of you variables, built with the cormat and the hclust method "complete" |
variabledata |
your data.frame of variables used to generate your tree |
cutheight |
the height at which you wish to cut your tree |
Examples
treecut.pvs()
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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