SVM scatter plot — svm_plot_2d • structToolbox

A scatter plot of the input data by group and the calculated boundary of a SVM model.

Usage

svm_plot_2d(factor_name, npoints = 100, ...)

Arguments

factor_name: (character) The name of a sample-meta column to use.
npoints: (numeric) The number of grid points used to plot the boundary. The default is 100.
...: Additional slots and values passed to struct_class.

Value

A svm_plot_2d object. This object has no output slots. See chart_plot in the struct package to plot this chart object.

Details

This object makes use of functionality from the following packages:

e1071

Inheritance

A svm_plot_2d object inherits the following struct classes:

[svm_plot_2d] >> [chart] >> [struct_class]

References

Meyer D, Dimitriadou E, Hornik K, Weingessel A, Leisch F (2023). e1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien. R package version 1.7-14, https://CRAN.R-project.org/package=e1071.

Examples

M = svm_plot_2d(
      factor_name = "V1",
      npoints = 100)

D = iris_DatasetExperiment()
M = filter_smeta(mode='exclude',levels='setosa',factor_name='Species') +
    mean_centre()+PCA(number_components=2)+
    SVM(factor_name='Species',kernel='linear')
M = model_apply(M,D)

C = svm_plot_2d(factor_name='Species')
chart_plot(C,M[4],predicted(M[3]))