collect_plots-HierarchicalPartition-method {cola} | R Documentation |
Collect plots from HierarchicalPartition object
## 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, ...)
object |
A |
depth |
Depth in the hierarchy. |
fun |
Function used to generate plots. Valid functions are |
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 |
The hierarchy represents as a circular dendrogram where plots are on the nodes.
No value is returned.
Zuguang Gu <z.gu@dkfz.de>
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)