ind.pvs: A function to identify and extract the principal variables in...

In hughesevoanth/iPVs: Identification of principal variables and an estimate of the number of variables in a data set.

A function to identify and extract the principal variables in your dataset.

Description

A function to identify and extract the principal variables in your dataset. The function will iterate over each newly generated list of PVs to insure that they do meet your tree cutheight standards.

Usage

ind.pvs(
  variabledata,
  tree,
  cormat,
  distmat,
  cutheight,
  hclust_meth = "average"
)

Arguments

variabledata	a data.frame of the variable data used to build your cormat and hclust tree
tree	a hclust object of you variables, built with the cormat and the hclust method "complete"
cormat	your correlation matrix
distmat	your distance matrix
cutheight	the height at which you wish to cut your tree
hclust_meth	method used in hclust

Examples

ind.pvs()

hughesevoanth/iPVs documentation built on July 26, 2023, 3:21 p.m.