plot.wsvm: 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 wsvm
plot(x, data, formula, fill = TRUE, grid = 50, slice = list(),
symbolPalette = palette(), svSymbol = "x", dataSymbol = "o", ...)

Value

None

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.

Author

David Meyer
Modified by Tianchen Xu tx2155@columbia.edu

Examples

Run this code

## 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)