e1071: plot.svm – R documentation

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plot.svm

Plot SVM Objects

Description

Generates a scatter plot of the input data of a svm fit for classification models by highlighting the classes and support vectors. Optionally, draws a filled contour plot of the class regions.

Usage

## S3 method for class 'svm'
plot(x, data, formula, fill = TRUE, grid = 50, slice = list(),
symbolPalette = palette(), svSymbol = "x", dataSymbol = "o", ...)

Arguments

`x`	An object of class `svm`
`data`	data to visualize. Should be the same used for fitting.
`formula`	formula selecting the visualized two dimensions. Only needed if more than two input variables are used.
`fill`	switch indicating whether a contour plot for the class regions should be added.
`grid`	granularity for the contour plot.
`slice`	a list of named values for the dimensions held constant (only needed if more than two variables are used). The defaults for unspecified dimensions are 0 (for numeric variables) and the first level (for factors). Factor levels can either be specified as factors or character vectors of length 1.
`symbolPalette`	Color palette used for the class the data points and support vectors belong to.
`svSymbol`	Symbol used for support vectors.
`dataSymbol`	Symbol used for data points (other than support vectors).
`...`	additional graphics parameters passed to `filled.contour` and `plot`.

Author(s)

David Meyer
David.Meyer@R-project.org

Examples

## a simple example
data(cats, package = "MASS")
m <- svm(Sex~., data = cats)
plot(m, cats)

## more than two variables: fix 2 dimensions
data(iris)
m2 <- svm(Species~., data = iris)
plot(m2, iris, Petal.Width ~ Petal.Length,
     slice = list(Sepal.Width = 3, Sepal.Length = 4))

## plot with custom symbols and colors
plot(m, cats, svSymbol = 1, dataSymbol = 2, symbolPalette = rainbow(4),
color.palette = terrain.colors)

e1071

Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien

v1.7-11

GPL-2 | GPL-3

Authors

David Meyer [aut, cre], Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut], Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code)

Initial release