validation-class: Class "validation"
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.