treecut.pvs: A function to identify the principal variables in your...
In hughesevoanth/iPVs: Identification of principal variables and an estimate of the number of variables in a data set.
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, cormat)
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
cormat
your correlation matrix
Examples
treecut.pvs()
hughesevoanth/iPVs documentation built on July 26, 2023, 3:21 p.m.
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.
| 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, cormat)
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 |
cormat |
your correlation matrix |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.