get_membership-ConsensusPartition-method: Get membership matrix

In jokergoo/cola: A Framework for Consensus Partitioning

Get membership matrix

Description

Get membership matrix

Usage

## S4 method for signature 'ConsensusPartition'
get_membership(object, k, each = FALSE)

Arguments

object	A ConsensusPartition-class object.
k	Number of subgroups.
each	Whether to return the percentage membership matrix which is summarized from all partitions or the individual membership in every single partition run.

Details

If each == FALSE, the value in the membership matrix is the probability to be in one subgroup, while if each == TRUE, the membership matrix contains the subgroup labels for every single partitions which are from randomly sampling from the original matrix.

The percent membership matrix is calculated by cl_consensus.

Value

• If each == FALSE, it returns a membership matrix where rows correspond to the columns from the subgroups.

• If each == TRUE, it returns a membership matrix where rows correspond to the columns from the original matrix.

Author(s)

Zuguang Gu <[e-mail]>

See Also

get_membership,ConsensusPartitionList-method summarizes membership from partitions from all combinations of top-value methods and partitioning methods.

Examples

data(golub_cola)
obj = golub_cola["ATC", "skmeans"]
get_membership(obj, k = 2)
get_membership(obj, k = 2, each = TRUE)

jokergoo/cola documentation built on Feb. 29, 2024, 1:41 a.m.