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Functions to produce confidence plots (e.g., heatmaps of pairwise probabilities of clustering) and exemplar plots.
confidence(pairwise.probabilities, partition) # S3 method for shallot.confidence plot(x, partition = NULL, data = NULL, show.labels = length(x$partition)
A vector of cluster labels, or NULL.
NULL
An object of class shallot.confidence.
shallot.confidence
An object of class shallot.pairwiseProbability, or NULL.
shallot.pairwiseProbability
The data from which the distances were computed.
Show the items names be shown in the plot?
Currently ignored.
The confidence function outputs an object of class shallot.confidence being a list of confidence information.
confidence
sample.partitions, process.samples, estimate.partition
sample.partitions
process.samples
estimate.partition
# NOT RUN { example(shallot) # }
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