plot {kernlab} | R Documentation

## 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

### See Also

`ksvm`

### 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)

[Package kernlab version 0.8-1 Index]