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

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

Performs split-half analysis for Candecomp/Parafac.

1 2	splithalfCP(X, n, m, p, r, centopt, normopt, scaleopt, addanal, conv, maxit, ort1, ort2, ort3, 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
`r`	Number of extracted components
`centopt`	Centering option (see `cent3`)
`normopt`	Normalization option (see `norm3`)
`scaleopt`	Scaling option (see `renormsolCP`)
`addanal`	Number of additional runs
`conv`	Convergence criterion
`maxit`	Maximal number of iterations
`ort1`	Type of constraints on `A` (see `CP`)
`ort2`	Type of constraints on `B` (see `CP`)
`ort3`	Type of constraints on `C` (see `CP`)
`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)

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.

CP

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: 
# Split-half analysis on CP solution
splitCP <- splithalfCP(TVdata, 30, 16, 15, 2, 0, 0, 0, 5, 1e-6, 10000, 1, 1, 1, 
 labSTUDENT, labSCALE, labPROGRAM)
# Split-half analysis on CP solution (when labels are not available)
splitCP <- splithalfCP(TVdata, 30, 16, 15, 2, 0, 0, 0, 5, 1e-6, 10000, 1, 1, 1)

## End(Not run)