kernlab: plot – R documentation

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plot

plot method for support vector object

Description

Plot a binary classification support vector machine object. The plot function returns a contour plot of the decision values.

Usage

## S4 method for signature 'ksvm'
plot(object, data=NULL, grid = 50, slice = list())

Arguments

`object`	a `ksvm` classification object created by the `ksvm` function
`data`	a data frame or matrix containing data to be plotted
`grid`	granularity for the contour plot.
`slice`	a list of named numeric values for the dimensions held constant (only needed if more than two variables are used). Dimensions not specified are fixed at 0.

Author(s)

Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at

Examples

## Demo of the plot function
x <- rbind(matrix(rnorm(120),,2),matrix(rnorm(120,mean=3),,2))
y <- matrix(c(rep(1,60),rep(-1,60)))

svp <- ksvm(x,y,type="C-svc")
plot(svp,data=x)

kernlab

Kernel-Based Machine Learning Lab

v0.9-29

GPL-2

Authors

Alexandros Karatzoglou [aut, cre], Alex Smola [aut], Kurt Hornik [aut], National ICT Australia (NICTA) [cph], Michael A. Maniscalco [ctb, cph], Choon Hui Teo [ctb]

Initial release