diagPlot: Diagnosis Plot

In muHVT: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmap for Data Analysis

Diagnosis Plot

Description

Function to construct Diagnosis Plots for HVT Model

Usage

diagPlot(
  hvt.results,
  data,
  level,
  quant.err,
  distance_metric = "L1_Norm",
  error_metric = "max",
  ...
)

Arguments

data	Data frame. A data frame with different columns is given as input. The dataframe should be the same dataframe used to train the HVT Model
level	Numeric. Indicating the level for which the heat map is to be plotted.
quant.err	Numeric. A number indicating the quantization error threshold.
...	The ellipsis is passed to it as additional argument. (Used internally)
hvt.results.model	A list of hvt.results.model obtained from HVT function while performing hierarchical vector quantization on train data

Details

This function creates Diagnosis Plots for HVT Model. The output of the functions contains a Minimum Intra-Centroid distance plot, a Minimum Intra-DataPoint Distance Plot, Distribution of number of cells, a Minimum Intra-DataPoint Distance Plot, Distribution of number of cells and count of singletons(segments with single observation)

Value

A list that contains a Minimum Inter-Centroid distance plot, a Minimum Intra-DataPoint Distance Plot, Distribution of number of cells and count of singletons(segments with single observation)

cent_plot	Plot. a Minimum Intra-Centroid distance plot
datapoint_plot	Plot. a Minimum Intra-Datapoints distance plot
number_plot	Plot. a Distribution of number of cells
singleton_count	Numeric. Count of singletons(segments with single observation)

Author(s)

Shubhra Prakash <[e-mail]>

See Also

predictHVT

Examples

data(USArrests)
hvt.results <- list()
hvt.results <- HVT(USArrests, n_cells = 15, depth = 1, quant.err = 0.2, 
                   distance_metric = "L1_Norm", error_metric = "mean",
                   projection.scale = 10, normalize = TRUE,
                   quant_method="kmeans",diagnose=TRUE)
diagPlot(hvt.results = hvt.results,
data = USArrests,
level = 1,
quant.err = 0.2)

muHVT documentation built on March 7, 2023, 6:38 p.m.