plot.lcc

<code>lcc</code> object (output from <code><a rd-options="" href="/link/longitudinal_consensus_cluster?package=longmixr&version=1.0.0" data-mini-rdoc="longmixr::longitudinal_consensus_cluster">longitudinal_consensus_cluster</a></code>)

optional character vector of colors for consensus matrix

color_palette

additional parameters for plotting; currently not used

Plot a longitudinal consensus clustering

An adaption of the consensus clustering approach from
'ConsensusClusterPlus' for longitudinal data. The longitudinal data is
clustered with flexible mixture models from 'flexmix', while the consensus
matrices are hierarchically clustered as in 'ConsensusClusterPlus'. By using
the flexibility from 'flexmix' and 'FactoMineR', one can use mixed data
types for the clustering.

Jonas Hagenberg

longmixr

Longitudinal Consensus Clustering with 'flexmix'

Matt Wilkerson

Peter Waltman

Max Planck Institute of Psychiatry 

plot.lcc function

<code>lcc</code> object (output from <code><a rd-options='' href='longitudinal_consensus_cluster'>longitudinal_consensus_cluster</a></code>)

`consensus matrix legend`	the legend for the following consensus matrix plots

`consensus matrix plot`	for every specified number of clusters, a heatmap of the consensus matrix and the result of the final clustering is shown

`consensus CDF`	a line plot of the CDFs for all different specified numbers of clusters

`Delta area`	elbow plot of the difference in the CDFs between the different numbers of clusters

`tracking plot`	cluster assignment of the subjects throughout the different cluster solutions

`item-consensus`	for every item (subject), calculate the average consensus value with all items that are assigned to one consensus cluster. This is repeated for every cluster and for all different numbers of clusters

plot.lcc: Plot a longitudinal consensus clustering

Description

Usage

Arguments

Value