resign function

Resigns Multi-Way Factors

Resigns factors from a multiway object.

## S3 method for class 'cpd'
resign(x, mode = 1, newsign = 1, absorb = 3, ...)
## S3 method for class 'indscal'
resign(x, mode = "B", newsign = 1, ...)
## S3 method for class 'mcr'
resign(x, mode = "A", newsign = 1, absorb = "C", ...)
## S3 method for class 'parafac'
resign(x, mode = "A", newsign = 1, absorb = "C", ...)
## S3 method for class 'parafac2'
resign(x, mode = "A", newsign = 1, absorb = "C", method = "pearson", ...)
## S3 method for class 'sca'
resign(x, mode = "B", newsign = 1, ...)
## S3 method for class 'tucker'
resign(x, mode = "A",newsign = 1, ...)

Arguments

• x: Object of class "cpd" (output from cpd), "indscal" (output from indscal), class "mcr" (output from mcr), class "parafac" (output from parafac), class "parafac2" (output from parafac2), class "sca" (output from sca), or class "tucker" (output from tucker).
• mode: Character indicating which mode to resign. For "cpd" objects, should be an integer between 1 and N.
• newsign: Desired resigning for each column of specified mode. Can input a scalar or a vector with length equal to the number of factors for the given mode. If x is of class "parafac2" and mode="A" you can input a list of covariates (see Details).
• absorb: Character indicating which mode should absorb the inverse of the rescalings applied to mode (cannot be equal to mode). For "cpd" objects, should be an integer between 1 and N.
• method: Correlation method to use if newsign is a list input (see Details).
• ...: Ignored.

Returns

Same as input.

Details

If x is of class "parafac2" and mode="A", the input newsign can be a list where each element contains a covariate vector for resigning Mode A. You need length(newsign[[k]]) = nrow(x$A[[k]]) for all k when newsign is a list. In this case, the resigning is implemented according to the sign of cor(newsign[[k]], x$A[[k]][,1], method). See Helwig (2013) for details.

See cpd, indscal, mcr, parafac, parafac2, sca, and tucker for more details.

References

Helwig, N. E. (2013). The special sign indeterminacy of the direct-fitting Parafac2 model: Some implications, cautions, and recommendations, for Simultaneous Component Analysis. Psychometrika, 78, 725-739. tools:::Rd_expr_doi("10.1007/S11336-013-9331-7")

Author(s)

Nathaniel E. Helwig helwig@umn.edu

Examples

# See examples for... 
#   cpd (Canonical Polyadic Decomposition)
#   indscal (INividual Differences SCALing)
#   mcr (Multiway Covariates Regression)
#   parafac (Parallel Factor Analysis-1)
#   parafac2 (Parallel Factor Analysis-2)
#   sca (Simultaneous Component Analysis)
#   tucker (Tucker Factor Analysis)