nvalidation-class {cancerclass} | R Documentation

## Class "nvalidation"

### Description

This class of objects is returned by the function `nvalidation` and represents the validation of a nearest centroid predictor in a random validation protocol. Objects of this class have methods for the function `plot`.

### Objects from the Class

Objects can be created by calls of the form `new("nvalidation", ...)`. describe objects here

### Slots

`ngenes`:

  Numerical vector containing the numbers features that are used for classification.

`method`:

  Character string specifying the feature selection method. Possible values are "cor", "student.test", "welch.test", "wilcoxon.test", "foldchange", "copa", "os", "ort", "shift", "throw".

`dist`:

  Character string specifiying the method for calculation of the distance between test samples and the centroids. Possible values are "euclidean", "angle", "cor", "center".

`ntrain`:

  The number of samples in the training set.

`nrep`:

  The number of repetitions for each training set size.

`hparam`:

  Hyperparameter needed for some of the feature selection methods. For methods copa, ors and os: Quantile (e.g. 0.75, 0.9, 0.95) used in order to detect outliers. For methods shift and throw: the minimum number of samples in each class after applying shift or throw.

`misclass`:

  A list containing the total, the class1 and the class2 misclassification rates.

`nselected`:

  Contains information, how often each of the genes was selected for a predictor.

`samples`:

  Numeric matrix containing the classification rates for each of the samples.

`classifier`:

  Numerical or character vector containing the class membership of the samples.

`fdata`:

  Feature annotations inherited from the ExpressionSet.

### Methods

There are three `plot` methods for visualization of the validation results.

### See Also

`nvalidate`, `nvalidation`

### Examples

    showClass("nvalidation")

[Package cancerclass version 1.36.0 Index]