ap.plot: Actual versus Predicted Plot and Residuals versus Predicted

In mvdalab: Multivariate Data Analysis Laboratory

Actual versus Predicted Plot and Residuals versus Predicted

Description

This function provides the actual versus predicted and actual versus residuals plot as part of a model assessment

Usage

ap.plot(object, ncomp = object$ncomp, verbose = FALSE)

Arguments

object	an object of class mvdareg, i.e., plsFit.
ncomp	number of components used in the model assessment
verbose	output results as a data frame

Details

This function provides the actual versus predicted and residuals versus predicted plot as part of model a assessment across the desired number of latent variables. A smooth fit (dashed line) is added in order to detect curvature in the fit.

Value

The output of ap.plot is a two facet graph for actual versus predicted and residuals versus predicted plots.

Author(s)

Nelson Lee Afanador ([e-mail])

See Also

plsFit

Examples

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

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