svm_plot_2d {structToolbox} | R Documentation

## SVM boundary plot (2d)

### Description

Plots the training data and the SVM boundary. 2d data only (ncol(D$data)==2).

### Usage

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

### Arguments

`factor_name` | The column of sample_meta to use
`npoints` | Used to control the resolution of the grid used to plot the boundary. Default 100.
`...` | additional slots and values passed to struct_class

### Value

struct object

### Examples

    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]))

[Package structToolbox version 0.99.8 Index]