calcICLNoPlots

Results of consensus clustering. The second item
in the list returned by <code><a rd-options="" href="/link/neatmap?package=neatmaps&version=2.1.0" data-mini-rdoc="neatmaps::neatmap">neatmap</a></code>.

consensus_results

<code>consensusClusterNoPlots</code> is a wrapper function for
 <code><a rd-options="ConsensusClusterPlus" href="/link/ConsensusClusterPlus?package=neatmaps&version=2.1.0&to=ConsensusClusterPlus" data-mini-rdoc="ConsensusClusterPlus::ConsensusClusterPlus">ConsensusClusterPlus</a></code> that suppresses
 the creation of the plots that are created automatically.

Simplify the exploratory data analysis process for multiple network
data sets with the help of hierarchical clustering, consensus
clustering and heatmaps. Multiple network data consists of multiple
disjoint networks that have common variables (e.g. ego networks).
This package contains the necessary tools for exploring such data,
from the data pre-processing stage to the creation of dynamic
visualizations.

Philippe Boileau

neatmaps

Heatmaps for Multiple Network Data

calcICLNoPlots function

Results of consensus clustering. The second item
in the list returned by <code><a rd-options='' href='neatmap'>neatmap</a></code>.

<code>consensusClusterNoPlots</code> is a wrapper function for
 <code><a rd-options='ConsensusClusterPlus' href='ConsensusClusterPlus'>ConsensusClusterPlus</a></code> that suppresses
 the creation of the plots that are created automatically.

calcICLNoPlots: Consensus Cluster Plus without Plots

Description

Usage

Arguments