rescale function

Rescales Multi-Way Factors

Rescales factors from a multiway object.

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

Arguments

• x: Object of class "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 rescale. For "cpd" objects, should be an integer between 1 and N.
• newscale: Desired root mean-square for each column of rescaled mode. Can input a scalar or a vector with length equal to the number of factors for the given mode.
• 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.
• ...: Ignored.

Returns

Same as input.

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)