collect_plots-HierarchicalPartition-method {cola} | R Documentation

## Collect plots from HierarchicalPartition object

### Description

Collect plots from HierarchicalPartition object

### Usage

    ## S4 method for signature 'HierarchicalPartition'
    collect_plots(object, depth = max_depth(object),
        fun = consensus_heatmap, verbose = TRUE, mc.cores = 1, heatmap_size = "2cm",
        add_labels = TRUE, ...)

### Arguments

`object` | A `HierarchicalPartition-class` object.
`depth` | Depth in the hierarchy.
`fun` | Function used to generate plots. Valid functions are `consensus_heatmap`, `plot_ecdf`, `membership_heatmap`, `get_signatures` and `dimension_reduction`.
`verbose` | Whether to print message.
`mc.cores` | Number of cores. On OSX it is enforced to be 1.
`heatmap_size` | Size of the heatmaps on the plot. The value should be in e.g. "2cm", "10mm" or "0.5inche".
`add_labels` | Whether add node IDs.
`...` | other Arguments passed to corresponding `fun`.

### Details

The hierarchy represents as a circular dendrogram where plots are on the nodes.

### Value

No value is returned.

### Author(s)

Zuguang Gu <z.gu@dkfz.de>

### Examples

    data(cola_rh)
    collect_plots(cola_rh)
    ## Not run:
    collect_plots(cola_rh, fun = membership_heatmap)
    collect_plots(cola_rh, fun = get_signatures)

    ## End(Not run)

[Package cola version 1.0.1 Index]