CP(data,laba,labb,labc)
n
by m
by p
or matrix or data.frame of order (n
x
mp
) containing the matricized array (frontal slices)n
containing the labels of the A
-mode entitiesm
containing the labels of the B
-mode entitiesp
containing the labels of the C
-mode entitiesA
-modeB
-modeC
-modeCPfunc
)CPfunc
)CPfunc
)CPfunc
)A
-mode entities (see CPfitpartitioning
)B
-mode entities (see CPfitpartitioning
)C
-mode entities (see CPfitpartitioning
)B
(see bootstrapCP
)C
(see bootstrapCP
)bootstrapCP
)A
-mode (full data) from split-half analysis (see splithalfCP
)A
-mode (split n.1) from split-half analysis (see splithalfCP
)A
-mode (split n.2) from split-half analysis (see splithalfCP
)B
-mode (full data) from split-half analysis (see splithalfCP
)B
-mode (split n.1) from split-half analysis (see splithalfCP
)B
-mode (split n.2) from split-half analysis (see splithalfCP
)C
-mode (full data) from split-half analysis (see splithalfCP
)C
-mode (split n.1) from split-half analysis (see splithalfCP
)C
-mode (split n.2) from split-half analysis (see splithalfCP
)A
-mode from Principal Component Analysis of mean values (see pcamean
)B
-mode from Principal Component Analysis of mean values (see pcamean
)C
-mode from Principal Component Analysis of mean values (see pcamean
)A
-mode from Principal Component Analysis of mean values (see pcamean
)B
-mode from Principal Component Analysis of mean values (see pcamean
)C
-mode from Principal Component Analysis of mean values (see pcamean
)n
containing the labels of the A
-mode entitiesm
containing the labels of the B
-mode entitiesP
containing the labels of the C
-mode entitiesn
x
mp
) containing the matricized array (frontal slices) after preprocessing used for the analysisT3
, T2
, T1
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)
## Not run:
# # interactive CP analysis
# TVcp <- CP(TVdata, labSTUDENT, labSCALE, labPROGRAM)
# # interactive CP analysis (when labels are not available)
# TVcp <- CP(TVdata)
# ## End(Not run)
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