test_to_known_factors-ConsensusPartitionList-method: Test correspondance between predicted and known classes

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Test correspondance between predicted and known classes

Usage

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## S4 method for signature 'ConsensusPartitionList'
test_to_known_factors(object, k, known = object@list[[1]]@anno,
    silhouette_cutoff = 0.5)

Arguments

object

a ConsensusPartitionList-class object.

k

number of partitions. It uses all k if it is not set.

known

a vector or a data frame with known factors.

silhouette_cutoff

cutoff for sihouette scores. Samples with value less than this are omit.

Details

The function basically sends each ConsensusPartition-class object to test_to_known_factors,ConsensusPartition-method and merges results afterwards.

Value

A data frame with columns:

Author(s)

Zuguang Gu <[email protected]>

See Also

test_between_factors, test_to_known_factors,ConsensusPartition-method

Examples

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jokergoo/cola documentation built on Nov. 13, 2018, 1:22 p.m.