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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot.gensvm.R
\name{plot.gensvm}
\alias{plot.gensvm}
\title{Plot the simplex space of the fitted GenSVM model}
\usage{
\method{plot}{gensvm}(fit, x, y.true = NULL, with.margins = TRUE,
with.shading = TRUE, with.legend = TRUE, center.plot = TRUE, ...)
}
\arguments{
\item{fit}{A fitted \code{gensvm} object}
\item{x}{the dataset to plot}
\item{y.true}{the true data labels. If provided the objects will be colored
using the true labels instead of the predicted labels. This makes it easy to
identify misclassified objects.}
\item{with.margins}{plot the margins}
\item{with.shading}{show shaded areas for the class regions}
\item{with.legend}{show the legend for the class labels}
\item{center.plot}{ensure that the boundaries and margins are always visible
in the plot}
\item{...}{further arguments are ignored}
}
\value{
returns the object passed as input
}
\description{
This function creates a plot of the simplex space for a fitted
GenSVM model and the given data set, as long as the dataset consists of only
3 classes. For more than 3 classes, the simplex space is too high
dimensional to easily visualize.
}
\examples{
x <- iris[, -5]
y <- iris[, 5]
# train the model
fit <- gensvm(x, y)
# plot the simplex space
plot(fit, x)
# plot and use the true colors (easier to spot misclassified samples)
plot(fit, x, y.true=y)
# plot only misclassified samples
x.mis <- x[predict(fit, x) != y, ]
y.mis.true <- y[predict(fit, x) != y]
plot(fit, x.mis)
plot(fit, x.mis, y.true=y.mis.true)
}
\author{
Gerrit J.J. van den Burg, Patrick J.F. Groenen \cr
Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
}
\references{
Van den Burg, G.J.J. and Groenen, P.J.F. (2016). \emph{GenSVM: A Generalized
Multiclass Support Vector Machine}, Journal of Machine Learning Research,
17(225):1--42. URL \url{http://jmlr.org/papers/v17/14-526.html}.
}
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