loadingsplot2D: 2-Dimensionsl Graphical Summary Information Pertaining to the...

In mvdalab: Multivariate Data Analysis Laboratory

2-Dimensionsl Graphical Summary Information Pertaining to the Loadings of a PLS or PCA Analysis

Description

Functions to extract 2D graphical loadings information from mvdalab objects.

Usage

loadingsplot2D(object, comps = c(1, 2), verbose = FALSE)

Arguments

object	an mvdareg or mvdapca object.
comps	a vector or length 2 corresponding to the number of components to include.
verbose	output results as a data frame

Details

loadingsplot2D is used to extract a graphical summary of the loadings of a PLS model. If comp is missing (or is NULL), a graphical summary for the 1st and 2nd componentsare returned.

Author(s)

Nelson Lee Afanador ([e-mail])

See Also

coefficientsplot2D, weightsplot2D

Examples

data(Penta)
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
               ncomp = 2, validation = "loo")
loadingsplot2D(mod1, comp = c(1, 2))

## Not run: 
data(Penta)
mod2 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
               ncomp = 2, validation = "loo")
loadingsplot2D(mod2, comp = c(1, 2))

## End(Not run)

data(iris)
pc1 <- pcaFit(iris)
loadingsplot2D(pc1, comp = c(1, 2))

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