DataVisualizations (version 1.1.8)

ClassBoxplot: 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

Examples

# NOT RUN {
# }
# NOT RUN {
data(ITS)
model=AdaptGauss::AdaptGauss(ITS)
Classification=AdaptGauss::ClassifyByDecisionBoundaries(ITS,

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

DataVisualizations::ClassBoxplot(ITS,Classification)$ggobject
# }