collect_plots-ConsensusPartitionList-method {cola} | R Documentation |
Collect plots from ConsensusPartitionList object
## S4 method for signature 'ConsensusPartitionList' collect_plots(object, k = 2, fun = consensus_heatmap, top_value_method = object@top_value_method, partition_method = object@partition_method, verbose = TRUE, mc.cores = 1, ...)
object |
a |
k |
number of partitions. |
fun |
function used to generate plots. Valid functions are |
top_value_method |
a vector of top-value methods. |
partition_method |
a vector of partition methods. |
verbose |
whether to print message. |
mc.cores |
number of cores. On OSX it is enforced to be 1. |
... |
other arguments passed to corresponding |
Plots for all combinations of top-value methods and parittion methods are arranged in one single page.
This function makes it easy to directly compare results from multiple methods.
No value is returned.
Zuguang Gu <z.gu@dkfz.de>
collect_plots,ConsensusPartition-method
collects plots for a single ConsensusPartition-class
object.
data(cola_rl) collect_plots(cola_rl, k = 3) ## Not run: collect_plots(cola_rl, k = 3, fun = membership_heatmap) collect_plots(cola_rl, k = 3, fun = get_signatures) ## End(Not run)