Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

jointplotgen

Jointplots


Description

Program for producing jointplots in general.

Usage

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

Arguments

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

Value

fit

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

Author(s)

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

References

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

Examples

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)

ThreeWay

Three-Way Component Analysis

v1.1.3
GPL (>= 2)
Authors
Maria Antonietta Del Ferraro, Henk A.L. Kiers, Paolo Giordani
Initial release
2015-09-07

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.