plotClustersSD {DIRECT}

Plotting Posterior Estimates of Cluster-Specific Random Effects

Description

Function plotClustersSD displays in a single plot the posterior estimates of cluster-specific standard deviations of the three types of variability (random effects) under the DIRECT model. See figures in Fu et al. (2013).

Usage

plotClustersSD(data.summary, nTime, ...)

Arguments

data.summary

The list generated from summaryDIRECT that contains processed posterior estimates.

nTime

Number of time points (or experimental conditions).

...

Additional arguments for plot.

Value

None.

Author(s)

Audrey Q. Fu

References

Fu, A. Q., Russell, S., Bray, S. and Tavare, S. (2013) Bayesian clustering of replicated time-course gene expression data with weak signals. The Annals of Applied Statistics. 7(3) 1334-1361.

See Also

summaryDIRECT for processing MCMC estimates for clustering and generating the list data.summary used here.

plotClustersPCA, plotClustersPCA, plotSimulation.

Examples

## See example in DIRECT.