validate.data.RdThis function checks if labels are available for all samples in features. Additionally validates metadata, if available.
validate.data(siamcat, verbose = 1)an object of class siamcat-class
integer, control output: 0 for no output at all,
1 for only information about progress and success, 2 for
normal level of information and 3 for full debug information,
defaults to 1
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)
#> + starting validate.data
#> + Keeping labels of 141 sample(s).
#> + finished validate.data in 0.003 s