displaySVM: displaySVM
In VBmix: Variational Bayesian Mixture Models

Description Usage Arguments Value Author(s) See Also Examples

displays the colored decision regions of a SVM model. Data symbols are also optionally displayed. Data and model should be 2D.

1 2	displaySVM(svm.model, dataframe, displayPoints = TRUE, subset = NULL, steps = 100, alpha = 0.4, lwd = 1)

`svm.model`	a SVM model, as returned by svm (e1071 library)
`dataframe`	data.frame object, containing row-elements, and associated labels in the last variable.
`displayPoints`	if FALSE, only decision regions are displayed.
`subset`	vector of indexes of a data subset to be displayed. If NULL, all points are displayed.
`steps`	influences the resolution of the decision regions. Low values will provoke aliasing, high values are slower to be displayed.
`alpha`	alpha blending parameter between decision regions and data symbols.
`lwd`	magnification factor for the stroke width used to plot symbols.

a new plotting window displaying SVM decision regions.

Pierrick Bruneau

svm

# extract 2 first variables and build data.frame
temp <- buildFrame(irisdata, irislabels)
iris.model <- e1071::svm(labels ~ ., data=temp, cost=100, gamma=1)
displaySVM(iris.model, temp)