kfoldxcv_grid {structToolbox} | R Documentation

## kfoldxcv_grid class

### Description

Plot of cross validation predictions vs the true values.

### Usage

    kfoldxcv_grid(factor_name, level, ...)

### Arguments

`factor_name` | The sample_meta column name to use.
`level` | The level of the factor to plot
`...` | additional slots and values passed to struct_class

### Value

struct object

### Examples

    D = iris_DatasetExperiment()
    I = kfold_xval(factor_name='Species') *
        (mean_centre() + PLSDA(factor_name='Species'))
    I = run(I,D,balanced_accuracy())

    C = kfoldxcv_grid(factor_name='Species',level='setosa')
    chart_plot(C,I)

[Package structToolbox version 1.0.1 Index]