bdm.boxp {bigMap}

Clustering statistics box-plot.

Description

Clustering statistics box-plot.

Usage

bdm.boxp(bdm, byVars = F, layer = 1)

Arguments

bdm

A bdm instance as generated by bdm.init().

byVars

A logical value. By default (byVars = FALSE) box-plots are grouped by cluster. With byVars = TRUE box-plots are grouped by input feature.

layer

The number of a layer (1 by default).

Details

If the number of clusters is large, only the first 25 clusters will be plotted. Note that the WTT algorithm numbers the clusters based on density value at the peak cell of the cluster. Thus, the numbering of the clusters is highly correlated with their relevance in terms of partial density. Therefore, in case of more than 25 clusters, the most relevant should always be included in the plot.

Value

None.

Examples

bdm.example()
bdm.boxp(exMap)
bdm.boxp(exMap, byVars = TRUE)