get_stats-ConsensusPartition-method {cola} | R Documentation

## Get statistics

### Description

Get statistics

### Usage

    ## S4 method for signature 'ConsensusPartition'
    get_stats(object, k = object@k, all_stats = FALSE)

### Arguments

`object` | A `ConsensusPartition-class` object.
`k` | Number of subgroups. The value can be a vector.
`all_stats` | Whether to show all statistics that were calculated. Used internally.

### Details

The statistics are:

1-PAC

  1 - proportion of ambiguous clustering, calculated by `PAC`.

mean_silhouette

  The mean silhouette score. See https://en.wikipedia.org/wiki/Silhouette_(clustering) .

concordance

  The mean probability that each partition fits the consensus partition, calculated by `concordance`.

area_increased

  The increased area under eCDF (the empirical cumulative distribution function) curve to the previous k.

Rand

  This is the percent of pairs of samples that are both in a same cluster or both are not in a same cluster in the partition of `k` and `k-1`. See https://en.wikipedia.org/wiki/Rand_index .

Jaccard

  The ratio of pairs of samples are both in a same cluster in the partition of `k` and `k-1` and the pairs of samples are both in a same cluster in the partition `k` or `k-1`.

### Value

A matrix of partition statistics.

### Author(s)

Zuguang Gu <z.gu@dkfz.de>

### Examples

    data(golub_cola)
    obj = golub_cola["ATC", "skmeans"]
    get_stats(obj)
    get_stats(obj, k = 2)

[Package cola version 1.6.0 Index]