findIndIntercept {simsem}

Find indicator intercepts from factor loading matrix, total factor mean, and indicator mean.

Description

Find indicator (measurement) intercepts from a factor loading matrix, total factor mean, and indicator mean.

Usage

findIndIntercept(lambda, factorMean = NULL, indicatorMean = NULL, 
	kappa = NULL, covmean = NULL)

Arguments

lambda

Factor loading matrix

factorMean

Total (model-implied) mean of factors. As a default, all total factor means are 0.

indicatorMean

Total indicator means. As a default, all total indicator means are 0.

kappa

Regression coefficient matrix from covariates (column) to indicators (rows)

covmean

A vector of covariate means.

Value

A vector of indicator (measurement) intercepts.

Author(s)

Sunthud Pornprasertmanit ([e-mail])

See Also

• findIndMean to find indicator (measurement) total means

• findIndResidualVar to find indicator (measurement) residual variances

• findIndTotalVar to find indicator (measurement) total variances

• findFactorIntercept to find factor intercepts

• findFactorMean to find factor means

• findFactorResidualVar to find factor residual variances

• findFactorTotalVar to find factor total variances

• findFactorTotalCov to find factor covariances

Examples

loading <- matrix(0, 6, 2)
loading[1:3, 1] <- c(0.6, 0.7, 0.8)
loading[4:6, 2] <- c(0.6, 0.7, 0.8)
facMean <- c(0.5, 0.2)
indMean <- rep(1, 6)
findIndIntercept(loading, facMean, indMean)