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kernlab (version 0.9-25)

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 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.

See Also

ksvm

Examples

Run this code
# NOT RUN {
## 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)

# }

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