plot.wsvm: Plot WSVM Objects

In WeightSVM: Subject Weighted Support Vector Machines

Plot WSVM Objects

Description

Generates a scatter plot of the input data of a wsvm 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 'wsvm'
plot(x, data, formula, fill = TRUE, grid = 50, slice = list(),
symbolPalette = palette(), svSymbol = "x", dataSymbol = "o", ...)

Arguments

x	An object of class wsvm
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.

Value

None

Author(s)

David Meyer
Modified by Tianchen Xu [e-mail]

See Also

wsvm

Examples

## a simple example
data(cats, package = "MASS")
m <- wsvm(Sex~., data = cats, weight = rep(1,144))
plot(m, cats)

## more than two variables: fix 2 dimensions
data(iris)
m2 <- wsvm(Species~., data = iris, weight = rep(1,150))
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)

WeightSVM documentation built on July 14, 2022, 5:05 p.m.