splithalfT3: Split-Half Analysis
In ThreeWay: Three-Way Component Analysis

Description Usage Arguments Value Author(s) References See Also Examples

Performs split-half analysis for Tucker3.

1 2	splithalfT3(X, n, m, p, r1, r2, r3, centopt, normopt, renormmode, wa_rel, wb_rel, wc_rel, addanal, conv, laba, labb, labc)

`X`	Matrix (or data.frame coerced to a matrix) of order (`n` `x` `mp`) containing the matricized array (frontal slices)
`n`	Number of `A`-mode entities
`m`	Number of `B`-mode entities
`p`	Number of `C`-mode entities
`r1`	Number of extracted components for the `A`-mode
`r2`	Number of extracted components for the `B`-mode
`r3`	Number of extracted components for the `C`-mode
`centopt`	Centering option (see `cent3`)
`normopt`	Normalization option (see `norm3`)
`renormmode`	Renormalization option (see `renormsolT3`)
`wa_rel`	Relative weight for simplicity of `A`-mode
`wb_rel`	Relative weight for simplicity of `B`-mode
`wc_rel`	Relative weight for simplicity of `C`-mode
`addanal`	Number of additional runs
`conv`	Convergence criterion
`laba`	Optional vector of length `n` containing the labels of the `A`-mode entities
`labb`	Optional vector of length `m` containing the labels of the `B`-mode entities
`labc`	Optional vector of length `p` containing the labels of the `C`-mode entities

`Afull`	Component matrix for the `A`-mode (full data)
`As1`	Component matrix for the `A`-mode (split n.1)
`As2`	Component matrix for the `A`-mode (split n.2)
`Bfull`	Component matrix for the `B`-mode (full data)
`Bs1`	Component matrix for the `B`-mode (split n.1)
`Bs2`	Component matrix for the `B`-mode (split n.2)
`Cfull`	Component matrix for the `C`-mode (full data)
`Cs1`	Component matrix for the `C`-mode (split n.1)
`Cs2`	Component matrix for the `C`-mode (split n.2)
`Kfull`	Matricized core array (frontal slices) (full data)
`Ks1`	Matricized core array (frontal slices) (split n.1)
`Ks2`	Matricized core array (frontal slices) (split n.2)
`Kss1`	Matricized core array (frontal slices) (using full data solutions for A,B and C for split n.1)
`Kss2`	Matricized core array (frontal slices) (using full data solutions for A,B and C for split n.2)

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.

T3

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: 
# Split-half analysis on T3 solution
splitT3 <- splithalfT3(Bus, 7, 5, 37, 2, 2, 2, 0, 0, 0, 3, 3, 0, 5, 1e-6, 
 laba, labb, labc)
# Split-half analysis on T3 solution (when labels are not available)
splitT3 <- splithalfT3(Bus, 7, 5, 37, 2, 2, 2, 0, 0, 0, 3, 3, 0, 5, 1e-6)

## End(Not run)