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Plot a cluster bundle

plot.dpmixgpd_cluster_bundle.Rd

Produce a compact graphical summary of the cluster bundle metadata.

Usage

# S3 method for class 'dpmixgpd_cluster_bundle'
plot(x, plotly = getOption("CausalMixGPD.plotly", FALSE), ...)

Arguments

x

A cluster bundle.

plotly

Logical; if TRUE, convert the ggplot2 output to a plotly / htmlwidget representation via .wrap_plotly(). Defaults to getOption("CausalMixGPD.plotly", FALSE).

...

Unused.

Value

A ggplot2 object or a plotly/htmlwidget object when plotly = TRUE.

Details

The bundle plot is a metadata display rather than an inferential graphic. It mirrors the structural fields reported by print() and summary() in a single panel so the pre-MCMC clustering specification can be reviewed in a figure-oriented workflow or notebook.

Because the object has not been sampled yet, no representative partition or posterior uncertainty is shown here. Use plot.dpmixgpd_cluster_fit(), plot.dpmixgpd_cluster_labels(), or plot.dpmixgpd_cluster_psm() after fitting when you need substantive clustering output.

See also

summary.dpmixgpd_cluster_bundle(), dpmix.cluster(), dpmgpd.cluster().

Other cluster workflow: dpmgpd.cluster(), dpmix.cluster(), plot.dpmixgpd_cluster_fit(), plot.dpmixgpd_cluster_labels(), plot.dpmixgpd_cluster_psm(), predict.dpmixgpd_cluster_fit(), print.dpmixgpd_cluster_bundle(), print.dpmixgpd_cluster_fit(), print.dpmixgpd_cluster_labels(), print.dpmixgpd_cluster_psm(), summary.dpmixgpd_cluster_bundle(), summary.dpmixgpd_cluster_fit(), summary.dpmixgpd_cluster_labels(), summary.dpmixgpd_cluster_psm()