plotDensityClusVisu: Function for visualizing the clustering results

In ClusVis: Gaussian-Based Visualization of Gaussian and Non-Gaussian Model-Based Clustering

Description

Function for visualizing the clustering results

Usage

plotDensityClusVisu(res, dim = c(1, 2), threshold = 0.95, add.obs = FALSE,
  positionlegend = "topright", xlim = NULL, ylim = NULL)

Arguments

res	object return by function clusvis or clusvis
dim	numeric. This vector of size two choose the axes to represent.
threshold	numeric. It contains the thersholds used for computing the level curves.
add.obs	boolean. If TRUE, coordinnates of the observations are plotted.
positionlegend	character. It specifies the legend location.
xlim	numeric. It specifies the range of x-axis.
ylim	numeric. It specifies the range of y-axis.

Examples

## Not run: 
# Package loading
require(Rmixmod)

# Data loading (categorical data)
data(birds)

# Model-based clustering with 3 components
resmixmod <- mixmodCluster(birds, 3)

# Inference of the parameters used for results visualization
# (specific for Rmixmod results)
resvisu <- clusvisMixmod(resmixmod)

# Component interpretation graph
plotDensityClusVisu(resvisu)

# Scatter-plot of the observation memberships
plotDensityClusVisu(resvisu,  add.obs = TRUE)

## End(Not run)

ClusVis documentation built on May 2, 2019, 5:21 p.m.