model_apply — model_apply • metamoRph

This function uses the output from model_build()

Usage

model_apply(
  list_of_models,
  experiment_data,
  experiment_labels = "",
  return_predictions = FALSE
)

Arguments

list_of_models: list object containing one model per sample type (e.g. photoreceptors vs not-photoreceptors)
experiment_data: Projected data metamoRph()
experiment_labels: Optional labels for the users experiment_data
return_predictions: By default the predicted labels are returned. If set to TRUE, then the entire matrix of probabilities for each sample (against each label type) is returned.

Value

By default, a table of predicted labels for your data, if return_predictions set to TRUE then a matrix of probabilities for each sample type is returned (where rows are samples and columns are each sample type probability)