Plot fit of Candecomp/Parafac
Plots fits against numbers of dimensions, with S as labels and fits against number of effective paramaters.
CPdimensionalityplot(A, n, m, p)
A |
A matrix with columns: number of components, goodness of fit (%) |
n |
Number of |
m |
Number of |
p |
Number of |
A is usually the first and fourth columns of the output of DimSelector.
The number of effective parameters in a Candecomp/Parafac analysis is discussed in Weesie and Van Houwelingen (1983).
Maria Antonietta Del Ferraro mariaantonietta.delferraro@yahoo.it
Henk A.L. Kiers h.a.l.kiers@rug.nl
Paolo Giordani paolo.giordani@uniroma1.it
E. Ceulemans \& H.A.L. Kiers (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical and Statistical Psychology 59:133–150.
J. Weesie \& H. Van Houwelingen (1983). GEPCAM users' manual (first draft). Utrecht, The Netherlands: Institute of Mathematical Statistics, State University of Utrecht.
data(TV) TVdata=TV[[1]] # permutation of the modes so that the A-mode refers to students TVdata <- permnew(TVdata, 16, 15, 30) TVdata <- permnew(TVdata, 15, 30, 16) # Fit values of CP with different numbers of components (from 1 to 5) FitCP <- CPrunsFit(TVdata, 30, 16, 15, 5) OutCP <- FitCP[,c(1,4)] CPdimensionalityplot(OutCP, 30, 16, 15)
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