scoresplot {mvdalab} | R Documentation |
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 |
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 |
Details
scoresplot
is used to extract a 2D graphical summary of the scores of PLS and PCA models.
Author(s)
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
Examples
data(Penta)
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1],
ncomp = 2, validation = "loo")
scoresplot(mod1, comp = c(1, 2))
[Package mvdalab version 1.7 Index]