Description Contents Future prospects Author Acknowledgements
This package provides functions and methods for performing correspondence regression, i.e. the correspondence analysis of the
crosstabulation of a categorical variable Y in function of another one X, where X can in turn be made up of the combination of various
categorical variables.
Consequently, correspondence regression can be used to analyze the effects for a polytomous or multinomial outcome variable.
The central function in the package is corregp
, which enables methods for printing, summarizing and plotting the output.
Additionally, there are functions for computing confidence intervals, ellipses or 3D ellipsoids (by means of bootstrapping).
This package consists of the following datasets, functions, generics and methods (some internal functions are no longer exported in version 2):
HairEye
Hair and eye color of statistics students (data frame).
COMURE
The use of linguistic variants in translations vs. non-translations and in six different registers.
AVT
The use of linguistic variants in audio-visual translation (subtitles).
TSS
The use of inflected or uninflected determiners in vernacular Belgian Dutch.
ci
A helper function to compute confidence intervals on the basis of a numeric vector.
corregp
The basic function to perform correspondence regression. Typically, one starts here, and then one uses print
, summary
, anova
, screeplot
or plot
methods.
corregplicate
A function for repeated correspondence regressions with bootstrapping in order to handle large data sets.
cint
Compute confidence intervals.
cell
Compute confidence ellipses.
cell3d
Compute 3D confidence ellipsoids.
ciplot
Plot confidence intervals.
pcplot
Plot parallel coordinates.
agplot
Plot an association graph.
plotag
Plot an association graph.
print.corregp
Print the output of a correspondence regression.
summary.corregp
Give a summary
of a correspondence regression.
print.summary.corregp
Print the summary
of a correspondence regression.
screeplot.corregp
Make a scree plot on the basis of the output of a correspondence regression.
anova.corregp
Give an anova
table on the basis of a correspondence regression.
print.anova.corregp
Print an anova
table on the basis of a correspondence regression.
coef.corregp
Give the coefficients on the basis of a correspondence regression.
coefficients.corregp
Give the coefficients on the basis of a correspondence regression.
fitted.corregp
Give the fitted values on the basis of a correspondence regression.
fitted.values.corregp
Give the fitted values on the basis of a correspondence regression.
residuals.corregp
Give the residuals on the basis of a correspondence regression.
resid.corregp
Give the residuals on the basis of a correspondence regression.
cint.corregp
Compute confidence intervals on the basis of the output of a correspondence regression. Typically, this function is not so much used directly as it is called by a ciplot.corregp
command.
ciplot.corregp
Plot confidence intervals on the basis of the output of a correspondence regression.
pcplot.corregp
Make a parallel coordinate plot on the basis of the output of a correspondence regression.
cell.corregp
Compute confidence ellipses on the basis of the output of a correspondence regression. Typically, this function is not so much used directly as it is called by a plot.corregp
command.
plot.corregp
Plot the output (and the optional confidence ellipses) of a correspondence regression.
cell3d.corregp
Compute 3D confidence ellipsoids on the basis of a correspondence regression. Typically, this function is not so much used directly as it is called by a plot3d.corregp
command.
plot3d.corregp
Plot the 3D output (and the optional confidence ellipsoids) of a correspondence regression.
agplot.corregp
Make an association graph on the basis of the output of a correspondence regression.
plotag.corregp
Make an association graph on the basis of the output of a correspondence regression.
Specify a predict
method for a.o. supplementary points.
Specify a plot
method for an anova
table.
Enable scale transformations for all plots (and corresponding confidence regions).
Provide the possibility for so-called "calibration lines".
Koen Plevoets, koen.plevoets@ugent.be
This package has benefited greatly from the helpful comments of Isabelle Delaere and Gert De Sutter. Thanks to Kurt Hornik and Uwe Ligges for proofing this package.
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