plot.tunelocal {CA3variants}R Documentation

Graphical display resulting from tunelocal

Description

The function plot.tunelocal allows the analyst to graphically display the optimal model dimension using a convex hull.

Usage

## S3 method for class 'tunelocal'
plot(x,...)

Arguments

x

The results of the function tunelocal. It shows the models that are located on the boundary of the convex hull and selects an optimal model by means of the scree test values (st). When using boots=F, it gives the set of possible dimension combination of the original data using only the original data array. When using boots=T, it gives the set of possible dimension combination of the original data using bootstrapped data arrays.

...

Further arguments passed to or from other methods.

Value

Graphical displays of a convex hull computed using the original data and the bootstrapped data when in tunelocal the input parameter boot=TRUE computed bootstrapped data too.

Author(s)

Rosaria Lombardo, Michel van de Velden and Eric J. Beh.

References

Beh EJ and Lombardo R (2014) Correspondence Analysis, Theory, Practice and New Strategies. John Wiley & Sons.
Wilderjans TF, Ceulemans E, and Meers K (2013) CHull: A generic convex hull based model selection method. Behavior Research Methods, 45, 1-15.
Ceulemans E, and Kiers H A L (2006) Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical & Statistical Psychology, 59, 133-150.

Examples


res.tunelocal<-tunelocal(happy, ca3type = "CA3",boots = FALSE, 
          nboots = 0)
plot(res.tunelocal)

[Package CA3variants version 3.3.1 Index]