validate.data.Rd
This function checks if labels are available for all samples in features. Additionally validates metadata, if available.
validate.data(siamcat, verbose = 1)
siamcat | an object of class siamcat-class |
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verbose | integer, control output: |
an object of class siamcat-class
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.
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, validate=FALSE)#> Warning: ### Not validating the SIAMCAT object!!! #> Please be advised that some functions may not work correctly!siamcat <- validate.data(siamcat, verbose=2)#>#>#>