# plot.svm

##### Plot SVM Objects

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 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`

.

##### See Also

##### Examples

```
# NOT RUN {
## 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)
# }
```

*Documentation reproduced from package e1071, version 1.6-8, License: GPL-2*