fungible (version 1.91)

faEKC: Calculate Reference Eigenvalues for the Empirical Kaiser Criterion

Description

Calculate Reference Eigenvalues for the Empirical Kaiser Criterion

Usage

faEKC(R = NULL, NSubj = NULL, Plot = FALSE)

Arguments

R

Input correlation matrix.

NSubj

Number of subjects (observations) used to create R.

Plot

(logical). If Plot = TRUE the function will plot the observed and reference eigenvalues of R.

Value

• ljEKC,

• ljEKC1,

• dimensions The estimated number of common factors.

See Also

Other Factor Analysis Routines: BiFAD, Box26, GenerateBoxData, Ledermann, SLi, SchmidLeiman, faAlign, faMain, faScores, faSort, faStandardize, faX, fals, fapa, fareg, orderFactors, print.faMain, promaxQ, summary.faMain

Examples

# NOT RUN {
data(AmzBoxes)
AmzBox20<- GenerateBoxData(XYZ = AmzBoxes[,2:4], 
                           BoxStudy = 20)$BoxData
RAmzBox20 <- cor(AmzBox20)
EKCout  <- faEKC(R = RAmzBox20, 
                NSubj = 98,
                Plot = TRUE)


# }