plotClustersSD function

Plotting Posterior Estimates of Cluster-Specific Random Effects

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).

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.

Returns

None.

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.

Author(s)

Audrey Q. Fu

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.