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lblp

labeling profile plot


Description

lblp plots the labeling profile of a binClst_instance.

Usage

lblp(obj, ref, ...)

## S4 method for signature 'binClst,missing'
lblp(obj, ref, lims = NULL, ...)

## S4 method for signature 'binClstStck,missing'
lblp(obj, ref, lims = NULL, ...)

## S4 method for signature 'binClst,numeric'
lblp(obj, ref, lims = NULL, ...)

## S4 method for signature 'binClst,binClst'
lblp(obj, ref, lims = NULL, ...)

Arguments

obj

A binClst_instance.

ref

A numeric vector with an expert's labeling profile.

A second binClst_instance to be compared with the first.

...

Parameters ref and lims are optional.

lims

A numeric vector with lower and upper bounds to limit the plot.

Examples

# -- apply EMbC to the example path --
mybcp <- stbc(expth)
# -- plot the labeling profile comparing with expert labeling --
lblp(mybcp,expth$lbl)
# -- compare original and smoothed labeling profiles --
lblp(mybcp,smth(mybcp))

EMbC

Expectation-Maximization Binary Clustering

v2.0.3
GPL-3 | file LICENSE
Authors
Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Initial release
2019-12-16

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