orderFactors: Order factor-loadings matrix by the sum of squared factor...

In fungible: Psychometric Functions from the Waller Lab

Order factor-loadings matrix by the sum of squared factor loadings

Description

Order the columns of a factor loadings matrix in descending order based on the sum of squared factor loadings.

Usage

orderFactors(Lambda, PhiMat, salient = 0.29, reflect = TRUE)

Arguments

Lambda	(Matrix) Factor loadings matrix to be reordered.
PhiMat	(Matrix, NULL) Factor correlation matrix to be reordered.
salient	(Numeric) Indicators with loadings < salient will be suppressed when computing the factor sum of squares values. Defaults to salient = .29.
reflect	(Logical) If true, negatively-keyed factors will be reflected. Defaults to reflect = TRUE.

Value

Returns the sorted factor loading and factor correlation matrices.

• Lambda: (Matrix) The sorted factor loadings matrix.

• Phi: (Matrix) The sorted factor correlation matrix.

See Also

Other Factor Analysis Routines: BiFAD(), Box26, GenerateBoxData(), Ledermann(), SLi(), SchmidLeiman(), faAlign(), faEKC(), faIB(), faLocalMin(), faMB(), faMain(), faScores(), faSort(), faStandardize(), faX(), fals(), fapa(), fareg(), fsIndeterminacy(), print.faMB(), print.faMain(), promaxQ(), summary.faMB(), summary.faMain()

Examples

## Not run: 
Loadings <- 
  matrix(c(.49, .41, .00, .00,
           .73, .45, .00, .00,
           .47, .53, .00, .00,
           .54, .00, .66, .00,
           .60, .00, .38, .00,
           .55, .00, .66, .00,
           .39, .00, .00, .68,
           .71, .00, .00, .56,
           .63, .00, .00, .55), 
         nrow = 9, ncol = 4, byrow = TRUE)
         
fungible::orderFactors(Lambda = Loadings,
                        PhiMat = NULL)$Lambda

## End(Not run)

fungible documentation built on March 31, 2023, 5:47 p.m.