Validate samples in labels, features, and metadata

Description

This function checks if labels are available for all samples in features. Additionally validates metadata, if available.

Usage

validate.data(siamcat, verbose = 1)

Arguments

Details

This function validates the data by checking that labels are available for all samples in the feature matrix. Furthermore, the number of samples per class is checked to ensure a minimum number. If metadata is available, the overlap between labels and metadata is checked as well. This function is run when a siamcat-class object is created.

Value

an object of class siamcat-class with validated data

Examples

    data(siamcat_example)
    # validate.data should be run before completing the pipeline
    # since the complete pipeline had been run on siamcat_example, we
    # construct a new siamcat object for the example
    feat <- orig_feat(siamcat_example)
    label <- label(siamcat_example)
    siamcat <- siamcat(feat=feat, label=label)
    siamcat <- validate.data(siamcat)