plot.plusminus: 2D Graph of the PCA scores associated with a plusminusFit

In mvdalab: Multivariate Data Analysis Laboratory

2D Graph of the PCA scores associated with a plusminusFit

Description

Generates a 2-dimensional graph of the scores for both plusminus objects.

Usage

## S3 method for class 'plusminus'
plot(x, ncomp = 2, comps = c(1, 2), ...)

Arguments

x	an object of class plusminus, i.e. plusminusFit.
ncomp	the number of components to include in the model (see below).
comps	a vector or length 2 corresponding to the number of components to include.
...	additional arguments. Currently ignored.

Details

plot.plusminus is used to extract a 2D graphical summary of the PCA scores associated with a plusminus object.

Author(s)

Nelson Lee Afanador ([e-mail])

Examples

###  PLUS-Minus CLASSIFIER WITH validation = 'none', i.e. no CV ###
data(plusMinusDat)
mod1 <- plusminusFit(Y ~., data = plusMinusDat, validation = "none", n_cores = 2)
plot(mod1, ncomp = 2, comps = c(1, 2))

###  Plus-Minus CLASSIFIER WITH validation = 'loo', i.e. leave-one-out CV ###
## Not run: 
data(plusMinusDat)
mod2 <- plusminusFit(Y ~., data = plusMinusDat, validation = "loo", n_cores = 2)
plot(mod2, ncomp = 2, comps = c(1, 2))

## End(Not run)

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