ClassBoxPlot: Creates Boxplot plot for all classes

In DataVisualizations: Visualizations of High-Dimensional Data

Creates Boxplot plot for all classes

Description

Boxplot the data for all classes

Usage

ClassBoxplot(Data, Cls,  ColorSequence = DataVisualizations::DefaultColorSequence,

 ClassNames = NULL,All=FALSE, PlotLegend = TRUE,

 main = 'Boxplot per Class', xlab = 'Classes', ylab = 'Range of Data')

Arguments

Data	Vector of the data to be plotted
Cls	Vector of class identifiers.
ColorSequence	Optional: The sequence of colors used, Default: DefaultColorSequence()
ClassNames	Optional: The names of the classes. Default: C1 - C(Number of Classes)
All	Optional: adds full data vector for comparison against classes
PlotLegend	Optional: Add a legent to plot. Default: TRUE)
main	Optional: Title of the plot. Default: "ClassBoxPlot""
xlab	Optional: Title of the x axis. Default: "Classes"
ylab	Optional: Title of the y axis. Default: "Data"

Value

A List of

ClassData	The DataFrame used to plot
ggobject	The ggplot2 plot object

in mode invisible

Author(s)

Michael Thrun, Felix Pape

Examples

data(ITS)
#please download package from cran
#model=AdaptGauss::AdaptGauss(ITS)
#Classification=AdaptGauss::ClassifyByDecisionBoundaries(ITS,

#DecisionBoundaries = AdaptGauss::BayesDecisionBoundaries(model$Means,model$SDs,model$Weights))

DataVisualizations::ClassBoxplot(ITS,Classification)$ggobject

DataVisualizations documentation built on Oct. 10, 2023, 9:06 a.m.