Fit of each entity per mode
Computation of fit contributions.
CPfitpartitioning(Xprep, n, m, p, A, B, C, laba, labb, labc)
Xprep |
Matrix (or data.frame coerced to a matrix) of order ( |
n |
Number of |
m |
Number of |
p |
Number of |
A |
Component matrix for the |
B |
Component matrix for the |
C |
Component matrix for the |
laba |
Optional vector of length |
labb |
Optional vector of length |
labc |
Optional vector of length |
A list including the following components:
fitA |
Fit contribution for the |
fitB |
Fit contribution for the |
fitC |
Fit contribution for the |
Maria Antonietta Del Ferraro mariaantonietta.delferraro@yahoo.it
Henk A.L. Kiers h.a.l.kiers@rug.nl
Paolo Giordani paolo.giordani@uniroma1.it
data(TV) TVdata=TV[[1]] labSCALE=TV[[2]] labPROGRAM=TV[[3]] labSTUDENT=TV[[4]] # permutation of the modes so that the A-mode refers to students TVdata <- permnew(TVdata, 16, 15, 30) TVdata <- permnew(TVdata, 15, 30, 16) # CP solution TVcp <- CPfuncrep(TVdata, 30, 16, 15, 2, 1, 1, 1, 0, 1e-6, 10000) # Fitpartitioning of the CP solution FitCP <- CPfitpartitioning(TVdata, 30, 16, 15, TVcp$A, TVcp$B, TVcp$C, labSTUDENT, labSCALE, labPROGRAM) # Fitpartitioning of the CP solution (when labels are not available) FitCP <- CPfitpartitioning(TVdata, 30, 16, 15, TVcp$A, TVcp$B, TVcp$C)
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