rnb.execute.clustering {RnBeads} | R Documentation

## rnb.execute.clustering

### Description

Performs hierarchical clustering on the samples of the given dataset using multiple distance metrics and agglomeration methods for a single given region type.

### Usage

    rnb.execute.clustering(rnb.set, region.type = "sites")

### Arguments

`rnb.set` | Methylation dataset as an object of type inheriting `RnBSet`.
`region.type` | the clustering is performed on methylation levels from regions of that type. see `rnb.region.types` for possible values.

### Value

List of clustering results, whereby each element is an object of type `RnBeadClustering`. In case clustering cannot be performed, the return value is `NULL`. Reasons for a failure include, among others, the case when `rnb.set` contains less than 3 samples, or undefined distances between a pair of samples due to (too many) missing values in the respective methylation matrix.

### Author(s)

Yassen Assenov

### Examples

    library(RnBeads.hg19)
    data(small.example.object)
    results <- rnb.execute.clustering(rnb.set.example, "promoters")
    # List applied dissimilarity metrics
    sapply(results, slot, "dissimilarity")
    # List applied clustering algorithms
    str(lapply(results, slot, "algorithm"))

[Package RnBeads version 2.2.0 Index]