get_classes-DownSamplingConsensusPartition-method {cola} | R Documentation

## Get subgroup labels

### Description

Get subgroup labels

### Usage

    ## S4 method for signature 'DownSamplingConsensusPartition'
    get_classes(object, k = object@k, p_cutoff = 0.05, reduce = FALSE)

### Arguments

`object` | A `DownSamplingConsensusPartition-class` object.
`k` | Number of subgroups.
`p_cutoff` | Cutoff of p-values of class label prediction. It is only used when `k` is a vector.
`reduce` | Used internally.

### Value

If `k` is a scalar, it returns a data frame with two columns:

- the class labels

- the p-value for the prediction of class labels.

If `k` is a vector, it returns a data frame of class labels for each k. The class label with prediction p-value > `p_cutoff` is set to `NA`.

### Examples

    data(golub_cola_ds)
    get_classes(golub_cola_ds, k = 3)
    get_classes(golub_cola_ds)

[Package cola version 1.6.0 Index]