ap.plot {mvdalab} | R Documentation |
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 |
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 (nelson.afanador@mvdalab.com)
See Also
Examples
data(Penta)
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
ncomp = 2, validation = "loo")
ap.plot(mod1, ncomp = 2)
[Package mvdalab version 1.7 Index]