iPVs: A super function that runs through all of the necessary...
In hughesevoanth/moosefun: Functions by Moose
iPVs R Documentation
A super function that runs through all of the necessary staeps for you to identify Independent Principal Variables
Description
A super function that runs through all of the necessary staeps for you to identify Independent Principal Variables
Usage
iPVs(variabledata, cutheight = 0.5)
Arguments
variabledata
a data.frame of the variable data used to build your cormat and hclust tree
cutheight
tree cut height. Value is equal to a dissimilarity of 1 - Spearman's rho.
Examples
iPVs()
hughesevoanth/moosefun documentation built on Aug. 22, 2022, 7:04 a.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.
| iPVs | R Documentation |
A super function that runs through all of the necessary staeps for you to identify Independent Principal Variables
Description
A super function that runs through all of the necessary staeps for you to identify Independent Principal Variables
Usage
iPVs(variabledata, cutheight = 0.5)
Arguments
variabledata |
a data.frame of the variable data used to build your cormat and hclust tree |
cutheight |
tree cut height. Value is equal to a dissimilarity of 1 - Spearman's rho. |
Examples
iPVs()
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.