plotClustersSD | R Documentation |
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, ...)
data.summary |
The list generated from |
nTime |
Number of time points (or experimental conditions). |
... |
Additional arguments for |
None.
Audrey Q. Fu
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.
summaryDIRECT
for processing MCMC estimates for clustering and generating the list data.summary
used here.
plotClustersPCA
, plotClustersPCA
, plotSimulation
.
## See example in DIRECT.
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