renorm4CA: Renormalize CA factor scores to Asymmetric factor scores or...

In HerveAbdi/PTCA4CATA: Partial Triadic Analysis (PTCA) for Check All That Apply (CATA) Data

Renormalize CA factor scores to Asymmetric factor scores or true Barycentric

Description

Renormalize CA factor scores to Asymmetric factor scores (each dimension has norm = 1 instead of delta) ond/or true Barycentric factor scores (each dimension as norm = lambda instead of delta).

Usage

renorm4CA(X, delta, normalization = "both")

Arguments

X	an I by L factor score matrix
delta	a length L vector giving the singular value if delta is longer than L, it is truncated and a warning is printed.
normalization	option are ' asymmetric','barycentric','both' (default). Gives the type of normalization.

Value

a list with F_A factor score for Asymmetric normalization and F_B for Barycentric normalization (NB only the selected options are returned).

Author(s)

Herve Abdi

Examples

## Not run: 
NormedFi = renorm4CA(Fi,delta)

## End(Not run)
# with Fi and delta from a CA program

HerveAbdi/PTCA4CATA documentation built on July 17, 2022, 5:41 a.m.