mvdalab (version 1.7)

scoresplot: 2D Graph of the scores

Description

Generates a 2-dimensional graph of the scores for both mvdareg and mvdapca objects.

Usage

scoresplot(object, comps = c(1, 2), alphas = c(.95, .99),
           segments = 51, verbose = FALSE)

Arguments

object

an object of class mvdareg, i.e. plsFit.

comps

a vector or length 2 corresponding to the number of components to include.

alphas

draw elliptical contours at these confidence levels.

segments

number of line-segments used to draw ellipse.

verbose

output results as a data frame

Author

Nelson Lee Afanador ()

Details

scoresplot is used to extract a 2D graphical summary of the scores of PLS and PCA models.

Examples

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