NominalLogisticBiplot (version 0.2)

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

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?

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)