plotNominalFittedVariable: Function for plotting in the reduced space an unordered and...

In NominalLogisticBiplot: Biplot representations of categorical data

Description

Graphical representation of a polytomous unordered variable previously fitted in the reduced space, according to the Nominal Logistic Biplot theory. It can be choosen some parameters related to the way in which the variable is plotted.

Usage

plotNominalFittedVariable(nameVar, numcateg, beta, varstudyC, rowCoords,
levelsVar = NULL, numFactors = 2, planex = 1, planey = 2, xi = -3.5, xu = 3.5,
yi = -3.5, yu = 3.5, CexVar = 0.7,ColorVar = "blue", PchVar = 0.7,
addToPlot = FALSE, QuitNotPredicted = TRUE, ShowResults = TRUE,
linesVoronoi = TRUE, LabelVar = TRUE)

Arguments

nameVar	Name of the variable to be plotted.
numcateg	Number of categories of the variable.
beta	Estimated coefficients matrix.
varstudyC	Values of the categorical variable to be plotted. It should be a factor with information about a nominal variable, i.e., an unordered variable.
rowCoords	Estimation coordinates for the individuals in the spanned space.
levelsVar	Vector with the labels for each level of the variable.
numFactors	Dimension of the reduced space.
planex	Dimension for X axis.
planey	Dimension for Y axis.
xi	Minimum value on the x-axis.
xu	Maximum value on the x-axis.
yi	Minimum value on the y-axis.
yu	Maximum value on the y-axis.
CexVar	Size of the category points.
ColorVar	Color for the variable.
PchVar	Symbol for the variable.
addToPlot	Should the graph be added to an existing representation?
QuitNotPredicted	Should the non-predicted categories be represented on the graph?
ShowResults	Should the results of the proccess of calculating the prediction regions be shown?
linesVoronoi	Should the tesselation be plotted.? Default is FALSE and only the category points are plotted for a better reading of the plot
LabelVar	Should the variable labels be shown?

Author(s)

Julio Cesar Hernandez Sanchez, Jose Luis Vicente-Villardon

Maintainer: Julio Cesar Hernandez Sanchez <[e-mail]>

See Also

polylogist

Examples

data(Env)
nlbo = NominalLogisticBiplot(Env,sFormula=NULL,
numFactors=2,method="EM",penalization=0.2,show=FALSE)
nameVar = nlbo$dataSet$ColumNames[1]
numcateg = 4
beta = nlbo$VariableModels[,1]$beta
Nagelkerke = nlbo$VariableModels[,1]$Nagelkerke 
varstudyC = as.matrix(as.numeric(Env[,1]))
rowCoords = nlbo$RowsCoords
levelsVar = c("M1","M2","M4","M5")
plotNominalFittedVariable(nameVar,numcateg,beta,varstudyC,rowCoords,levelsVar=NULL,
            numFactors=2,planex = 1,planey = 2,xi=-3.5,xu=3.5,yi=-3.5,yu=3.5,
            CexVar=0.7,ColorVar="blue",PchVar=0.7,addToPlot=FALSE,
            QuitNotPredicted=TRUE,ShowResults=TRUE,linesVoronoi=TRUE,LabelVar=TRUE)

NominalLogisticBiplot documentation built on May 2, 2019, 6:03 a.m.