T3(data, laba, labb, labc)
n
x
m
x
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
-modeT3func
)T3func
)T3func
)T3func
)A
-mode entities (see T3fitpartitioning
)B
-mode entities (see T3fitpartitioning
)C
-mode entities (see T3fitpartitioning
)A
-and mode B
component combinations (see T3fitpartitioning
)A
-and mode C
component combinations (see T3fitpartitioning
)B
-and mode C
component combinations (see T3fitpartitioning
)B
(see bootstrapT3
)C
(see bootstrapT3
)core
(see bootstrapT3
)bootstrapT3
)A
-mode (full data) from split-half analysis (see splithalfT3
)A
-mode (split n.1) from split-half analysis (see splithalfT3
)A
-mode (split n.2) from split-half analysis (see splithalfT3
)B
-mode (full data) from split-half analysis (see splithalfT3
)B
-mode (split n.1) from split-half analysis (see splithalfT3
)B
-mode (split n.2) from split-half analysis (see splithalfT3
)C
-mode (full data) from split-half analysis (see splithalfT3
)C
-mode (split n.1) from split-half analysis (see splithalfT3
)C
-mode (split n.2) from split-half analysis (see splithalfT3
)splithalfT3
)splithalfT3
)splithalfT3
)splithalfT3
)splithalfT3
)A
-mode entitiesB
-mode entitiesC
-mode entitiesC
and B
-mode entities using the A
-mode projected in it as axes (to be added in plot
, i.e. coordinates in ($CBplot
,$A
))A
and C
-mode entities using the B
-mode projected in it as axes (to be added in plot
, i.e. coordinates in ($ACplot
,$B
))B
and A
-mode entities using the C
-mode projected in it as axes (to be added in plot
, i.e. coordinates in ($BAplot
,$C
))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 analysisCP
,T2
,T1
data(Bus)
# labels for Bus data
laba <- rownames(Bus)
labb <- substr(colnames(Bus)[1:5],1,1)
labc <- substr(colnames(Bus)[seq(1,ncol(Bus),5)],3,8)
## Not run:
# # interactive T3 analysis
# BusT3 <- T3(Bus, laba, labb, labc)
# # interactive T3 analysis (when labels are not available)
# BusT3 <- T3(Bus)
# ## End(Not run)
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