jointplotgen: Jointplots
In ThreeWay: Three-Way Component Analysis

Description Usage Arguments Value Author(s) References Examples

Program for producing jointplots in general.

1	jointplotgen(K, A, B, C, fixmode, fixunit, laba, labb, labc)

`K`	Matricized core array (frontal slices)
`A`	Component matrix for the `A`-mode
`B`	Component matrix for the `B`-mode
`C`	Component matrix for the `C`-mode
`fixmode`	Mode for which one unit is to be chosen (1 for A-mode, 2 for B-mode, 3 for C-mode)
`fixunit`	Number of component for which joint plot is desired
`laba`	Vector of length `n` containing the labels of the `A`-mode entities
`labb`	Vector of length `m` containing the labels of the `B`-mode entities
`labc`	Vector of length `p` containing the labels of the `C`-mode entities

fit

Percentage of info for component at hand, explained by two-dimensional plot

Maria Antonietta Del Ferraro mariaantonietta.delferraro@yahoo.it
Henk A.L. Kiers h.a.l.kiers@rug.nl
Paolo Giordani paolo.giordani@uniroma1.it

P.M. Kroonenberg (2008). Applied Multiway Data Analysis. Wiley, New Jersey.

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)
# <- T3 solution
BusT3 <- T3funcrep(Bus, 7, 5, 37, 2, 2, 2, 0, 1e-6)
# Joint plot for mode C and component 2
jointplotgen(BusT3$H, BusT3$A, BusT3$B, BusT3$C, 3, 2, laba, labb, labc)