plotOrdinalVariable: This function plots in the reduced space an ordered...
In OrdinalLogisticBiplot: Biplot representations of ordinal variables

Description Usage Arguments Author(s) References Examples

Graphical representation of a polytomous ordered variable in the reduced space, according to Vicente-Villardon & Hernandez-Sanchez(2014) methodology. It can be choosen some parameters related to the way in which the variable is plotted.

plotOrdinalVariable(ordinalfVar,nameVariable,estimRows,planex = 1,planey = 2,
  xi=-3.5,xu=3.5,yi=-3.5,yu=3.5,margin=0,CexVar=0.7,ColorVar="blue",
  PchVar=0.7,addToPlot=FALSE,showIIC = TRUE,iicxi=-2.5,iicxu=2.5,
  tol = 1e-04, maxiter = 100, penalization = 0.1)

`ordinalfVar`	The ordinal variable. It must be an ordered factor.
`nameVariable`	Name of the variable that the user wants to represent.
`estimRows`	Matrix with the estimated coordinates for the individuals in the reduced dimension.
`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.
`margin`	This value stablishes the space between the plotted items and the border of the window.
`CexVar`	Size of the category points. It can be an array with the cex information for each variable.
`ColorVar`	Color for the variables. It can be an array with the color information for each variable.
`PchVar`	Symbol for the variables. It could be an array with the pch information for each variable.
`addToPlot`	Boolean parameter to decide if the user wants to add the ordinal variable representation to an existing plot.
`showIIC`	Boolean parameter to decide if the user wants to see the item information curves for each variable. Default value is FALSE.
`iicxi`	Lower limit for the X-axis when plotting item information curves.
`iicxu`	Upper limit for the X-axis when plotting item information curves.
`tol`	Tolerance for the iterations.
`maxiter`	Maximum number of iterations.
`penalization`	Penalization used to avoid singularities.

Julio Cesar Hernandez Sanchez, Jose Luis Vicente-Villardon

Maintainer: Julio Cesar Hernandez Sanchez <juliocesar_avila@usal.es>

Vicente-Villardon, J. L. & Hernandez, J. C. & (2014) Logistic Biplots for ordinal data with an application to job satisfaction of doctorate degree holders in Spain. Preprint available at arXiv.

data(LevelSatPhd)
olbo = OrdinalLogisticBiplot(LevelSatPhd,sFormula=NULL,
  numFactors=2,method="EM")
ordinalfVar = factor(LevelSatPhd[,1],ordered=TRUE)
levels(ordinalfVar) = c("VS","SS","SD","VD")
estimRows = olbo$RowCoords
nameVariable = "Salary"   
plotOrdinalVariable(ordinalfVar,nameVariable,estimRows,planex = 1,
  planey = 2,xi=-1.5,xu=1.5,yi=-1.5,yu=1.5,
  margin=0.2,CexVar=0.7,showIIC = TRUE)