SelectResult-class: Container for Storing Feature Selection Results

Description Constructor Summary Author(s) Examples

Description

Contains a list of ranked indices or names of features, from most discriminative to least discriminative, and a list of indicies of features selected for use in classification. The names or indices will be in a data frame if the input dataset is a MultiAssayExperiment, with the first column containing the name of the data table the feature is from and the second column the index or name of the feature. Each vector or data frame element in the list corresponds to a particular iteration of classifier training. Nested lists will be present if the permutation and folding cross-validation scheme was used. This class is not intended to be created by the user, but could be used in another software package.

Constructor

SelectResult(datasetName, selectionName, rankedFeatures, chosenFeatures)

datasetName

A name associated with the dataset used.

selectionName

A name associated with the classification.

rankedFeatures

Indices or names of all features, from most to least discriminative.

chosenFeatures

Indices or names of features selected at each fold.

Summary

A method which summarises the results is available. result is a SelectResult object.

show(result) Prints a short summary of what result contains.

Author(s)

Dario Strbenac

Examples

1
    SelectResult("Melanoma", "Moderated t-test", list(1:50), list(1:10))

ClassifyR documentation built on May 19, 2018, 6:01 p.m.