suggest_best_k-ConsensusPartitionList-method {cola} | R Documentation

## Suggest the best number of subgroups

### Description

Suggest the best number of subgroups

### Usage

    ## S4 method for signature 'ConsensusPartitionList'
    suggest_best_k(object, jaccard_index_cutoff = select_jaccard_cutoff(ncol(object)))

### Arguments

`object` | A `ConsensusPartitionList-class` object.
`jaccard_index_cutoff` | The cutoff for Jaccard index for comparing to previous k.

### Details

It basically gives the best k for each combination of top-value method and partitioning method by calling `suggest_best_k,ConsensusPartition-method`.

1-PAC score higher than 0.95 is treated as very stable partition (marked by `**`) and higher than 0.9 is treated as stable partition (marked by `*`).

### Value

A data frame with the best k and other statistics for each combination of methods.

### Author(s)

Zuguang Gu <z.gu@dkfz.de>

### Examples

    data(golub_cola)
    suggest_best_k(golub_cola)

[Package cola version 1.8.1 Index]