plotNovelCells: Plot the identified outlier cells in the voronoi tessellation...

In HVT: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis

Plot the identified outlier cells in the voronoi tessellation map.

Description

This is the main plotting function to construct hierarchical voronoi tessellations and highlight the outlier cells

Usage

plotNovelCells(
  plot.cells,
  hvt.map,
  line.width = c(0.6),
  color.vec = c("#141B41"),
  pch = 21,
  centroid.size = 0.5,
  title = NULL,
  maxDepth = 1
)

Arguments

plot.cells	Vector. A vector indicating the cells to be highlighted in the map
hvt.map	List. A list containing the output of trainHVT function which has the details of the tessellations to be plotted
line.width	Numeric Vector. A vector indicating the line widths of the tessellation boundaries for each level
color.vec	Vector. A vector indicating the colors of the boundaries of the tessellations at each level
pch	Numeric. Symbol of the centroids of the tessellations (parent levels) Default value is 21.
centroid.size	Numeric. Size of centroids of first level tessellations. Default value is 0.5
title	String. Set a title for the plot. (default = NULL)
maxDepth	Numeric. An integer indicating the number of levels. (default = NULL)

Value

Returns a ggplot object containing hierarchical voronoi tessellation plot highlighting the outlier cells

Author(s)

Shantanu Vaidya <[e-mail]>

See Also

trainHVT
plotHVT

Examples

data("EuStockMarkets")
hvt.results <- trainHVT(EuStockMarkets, n_cells = 60, depth = 1, quant.err = 0.1, 
                       distance_metric = "L1_Norm", error_metric = "max",
                       normalize = TRUE,quant_method="kmeans")
#selected 55,58 are for demo purpose
plotNovelCells(c(55,58),hvt.results)

HVT documentation built on April 3, 2025, 8:45 p.m.