| plot.svm {e1071} | R Documentation |
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.
plot.svm(x, data, formula, fill = TRUE, grid = 50, slice = list(), symbolPalette = palette(), svSymbol = "x", dataSymbol = "o", ...)
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 numeric values for the dimensions held constant (only needed if more than two variables are used). Dimensions not specified are fixed at 0. |
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. |
David Meyer
David.Meyer@R-project.org
## a simple example
library(MASS)
data(cats)
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)