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OrdinalLogisticBiplot (version 0.4)

Biplot representations of ordinal variables

Description

Analysis of a matrix of polytomous items using Ordinal Logistic Biplots (OLB) The OLB procedure extends the binary logistic biplot to ordinal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as lines rather than vectors as in a classical or binary biplot, specifying the points for each of the categories of the variable. The set of prediction regions is established by stripes perpendicular to the line between the category points, in such a way that the prediction for each individual is given by its projection into the line of the variable.

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Version

Install

install.packages('OrdinalLogisticBiplot')

Monthly Downloads

29

Version

0.4

License

GPL (>= 2)

Maintainer

Julio Cesar Hernandez Sanchez

Last Published

January 16th, 2015

Functions in OrdinalLogisticBiplot (0.4)

plot.ordinal.logistic.biplot

Graphical representation of an Ordinal Logistic Biplot.
CheckDataSet

Check a data set.
summary.pordlogist

Summary Method Function for Objects of Class 'pordlogist'
PlotClusters

Graphical representation of clusters of individuals.
OrdinalLogisticBiplot

Ordinal Logistic Biplot for ordered polytomous data
BiplotDensity

Density plot of a data set with overlaid contours.
plotOrdinalVariable

This function plots in the reduced space an ordered categorical variable.
OrdinalLogisticBiplot-package

Ordinal Logistic Biplot representations for polytomous ordered data.
pordlogist

Ordinal logistic regression with ridge penalization
LevelSatPhd

Data set extracted from the Careers of doctorate holders survey carried out by Spanish Statistical Office in 2008.
plotOrdinalFittedVariable

Function that gives the posibility for the user for plotting in the reduced space an ordered and fitted categorical variable.
OrdinalLogBiplotEM

Alternated EM algorithm for Ordinal Logistic Biplots
summary.ordinal.logistic.biplot

Summary Method Function for Objects of Class 'ordinal.logistic.biplot'