dkplot: Generate a delta-K plot from area under the curve (AUC)...

In clusterCons: Consensus Clustering using Multiple Algorithms and Parameters

Generate a delta-K plot from area under the curve (AUC) values across multiple cluster numbers.

Description

This function uses the lattice function xyplot to generate an delta-K plot from a valid "dk" class object (see dk-class).

Usage

dkplot(x)

Arguments

x	a valid "dk" class object (see dk-class), normally generated by the deltak 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

consmatrix-class

Examples

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

#look at the result structure
summary(testcmr);

#calculate all of the AUC values from the \code{cluscomp} result for algorithm 'kmeans'
kmeanscmr <- testcmr[grep('kmeans',names(testcmr))];
acs <- aucs(kmeanscmr);

#calculate all of the delta-K values
dks <- deltak(acs);

#plot the delta-K curve
dkplot(dks);

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