wvarim: Weighted varimax

In PCovR: Principal Covariates Regression

Weighted varimax

Description

This is an oblique rotation criterion, developed by Cureton and Mulaik (1975).

Usage

wvarim(F1, nrs = 20)

Arguments

F1	Matrix to be rotated
nrs	Number of random starts

Value

Th	Rotation matrix
loadings	Rotated matrix
W	Matrix of weights
fr	Varimax function value
ir	Number of iterations

Author(s)

Marlies Vervloet ([e-mail])

References

Cureton, E. E., & Mulaik, S. A. (1975). The weighted varimax rotation and the promax rotation. Psychometrika, 40(2), 183-195.

Marlies Vervloet, Henk A. Kiers, Wim Van den Noortgate, Eva Ceulemans (2015). PCovR: An R Package for Principal Covariates Regression. Journal of Statistical Software, 65(8), 1-14. URL http://www.jstatsoft.org/v65/i08/.

Examples

Px <- matrix(rnorm(36),12,3)
print(Px)

Px_r <- wvarim(Px)
print(Px_r$loadings)

PCovR documentation built on Oct. 26, 2023, 9:06 a.m.