Calculate confusion matrices (or matrix) for validation datasets.

Calculate confusion matrices based on predictions for validation datasets.

Usage

calcConfusionValidation(
  predsList,
  lambda,
  sampleMetadata,
  className = "class",
  classLevels = NA,
  each = TRUE
)

predsList: list of predictions from metapredict().
lambda: value of lambda at which to use predictions.
sampleMetadata: data.frame of sample metadata.
className: name of column in sampleMetadata containing the true labels.
classLevels: Order of classes in the confusion matrix. If NA (default), then the function uses the order in cvFit.
each: logical indicating whether to calculate a confusion matrix for each validation dataset (default) or one confusion matrix including all datasets.

If isTRUE(each), a list of objects of class table. Otherwise, an object of class table.