test_to_known_factors-HierarchicalPartition-method {cola} | R Documentation |
Test correspondance between predicted classes and known factors
## S4 method for signature 'HierarchicalPartition' test_to_known_factors(object, known = get_anno(object[1]), merge_node = merge_node_param(), verbose = FALSE)
object |
A |
merge_node |
Parameters to merge sub-dendrograms, see |
known |
A vector or a data frame with known factors. By default it is the annotation table set in |
verbose |
Whether to print messages. |
A data frame with columns:
number of samples
p-values from the tests
number of classes
The classifications are extracted for each depth.
Zuguang Gu <z.gu@dkfz.de>
data(golub_cola_rh) # golub_cola_rh already has known annotations, so test_to_known_factors() # can be directly applied test_to_known_factors(golub_cola_rh)