cola_report-ConsensusPartitionList-method {cola} | R Documentation |
Make HTML report from the ConsensusPartitionList object
## S4 method for signature 'ConsensusPartitionList' cola_report(object, output_dir = getwd(), mc.cores = 1, cores = mc.cores, title = "cola Report for Consensus Partitioning", env = parent.frame())
object |
A |
output_dir |
The output directory where the report is saved. |
mc.cores |
Multiple cores to use. This argument will be removed in future versions. |
cores |
Number of cores, or a |
title |
Title of the report. |
env |
Where the objects in the report are found, internally used. |
The ConsensusPartitionList-class
object contains results for all combinations of top-value methods and partitioning methods.
This function generates a HTML report which contains all plots and tables for every combination
of method.
The report generation may take a while because it generates A LOT of heatmaps.
Examples of reports can be found at https://jokergoo.github.io/cola_collection/ .
No value is returned.
Zuguang Gu <z.gu@dkfz.de>
if(FALSE) { # the following code is runnable data(golub_cola) cola_report(golub_cola[c("SD", "MAD"), c("hclust", "skmeans")], output_dir = "~/test_cola_cl_report") }