findIndResidualVar {simsem}

Find indicator residual variances from factor loading matrix, total factor covariance, and total indicator variances.

Description

Find indicator (measurement) residual variances from a factor loading matrix, total factor covariance matrix, and total indicator variances.

Usage

findIndResidualVar(lambda, totalFactorCov, totalVarTheta = NULL, 
	kappa = NULL, covcov = NULL)

Arguments

lambda

Factor loading matrix

totalFactorCov

Total (model-implied) covariance matrix among factors.

totalVarTheta

Indicator total variances. As a default, all total variances are 1.

kappa

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

covcov

A covariance matrix among covariates

Value

A vector of indicator residual variances.

Author(s)

Sunthud Pornprasertmanit ([e-mail])

See Also

• findIndIntercept to find indicator (measurement) intercepts

• findIndMean to find indicator (measurement) total means

• 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)
facCov <- matrix(c(1, 0.5, 0.5, 1), 2, 2)
totalVar <- rep(1, 6)
findIndResidualVar(loading, facCov, totalVar)