loadingsplot: Graphical Summary Information Pertaining to the Loadings

In mvdalab: Multivariate Data Analysis Laboratory

Graphical Summary Information Pertaining to the Loadings

Description

Functions to extract graphical loadings information from mvdareg and mvdapca object.

Usage

loadingsplot(object, ncomp = object$ncomp, conf = 0.95, verbose = FALSE)

Arguments

object	an mvdareg or mvdapca object.
ncomp	the number of components to include.
conf	for a bootstrapped model, the confidence level to use.
verbose	output results as a data frame

Details

"loadingsplot" is used to extract a graphical summary of the loadings of a PLS model. If "comps" is missing (or is NULL), a graphical summary for the nth component estimates are returned. Otherwise, if comps is given parameters for a model with only the requested component comps is returned.

Bootstrap graphcal summaries provided are when "method = oob"

Author(s)

Nelson Lee Afanador ([e-mail])

See Also

loadings, loadings.boots, loadingsplot2D

Examples

data(Penta)
## Number of bootstraps set to 300 to demonstrate flexibility
## Use a minimum of 1000 (default) for results that support bootstraping
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
               ncomp = 2, validation = "oob", boots = 300)
loadingsplot(mod1, ncomp = 1:2)

mvdalab documentation built on Oct. 6, 2022, 1:05 a.m.