validation-class: Class "validation"

Description Objects from the Class Slots Methods See Also Examples

Description

An object of this class is returned by the function validate and represents the validation of a nearest centroid predictor in a random validation protocol.

Objects from the Class

Objects can of this class be created by new("validation", ...).

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:

A numeric vector containing the numbers of samples in the training sets.

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:

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

Methods

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

See Also

validate, validation

Examples

1
showClass("validation")

Bioconductor-mirror/cancerclass documentation built on June 1, 2017, 5:25 a.m.