membBoxPlot: Generate a box and whisker plot of membership robustness for...

In clusterCons: Consensus Clustering using Multiple Algorithms and Parameters

Generate a box and whisker plot of membership robustness for all clusters

Description

This function uses the lattice function bwplot to generate a box and whisker plot of membership robustness from the result of a call to the memrob function.

Usage

membBoxPlot(x)

Arguments

x	the result of a call to the memrob function.

Value

No return value, called for side effects

Author(s)

Dr. T. Ian Simpson [e-mail]

References

Merged consensus clustering to assess and improve class discovery with microarray data. Simpson TI, Armstrong JD and Jarman AP. BMC Bioinformatics 2010, 11:590.

See Also

memroblist-class,memrob

Examples

#load up a test cluscomp result
data('testcmr');

#calculate the membershpi robustness for one of the clustering results
mr <- memrob(testcmr$e1_kmeans_k5);

#plot the bwplot
membBoxPlot(mr);

clusterCons documentation built on March 18, 2022, 5:16 p.m.