findIndTotalVar: Find indicator total variances from factor loading matrix,...

In simsem: SIMulated Structural Equation Modeling

Description

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

Usage

findIndTotalVar(lambda, totalFactorCov, residualVarTheta, kappa = NULL, 
	covcov = NULL)

Arguments

lambda	Factor loading matrix
totalFactorCov	Total (model-implied) covariance matrix among factors.
residualVarTheta	Indicator (measurement) residual variances.
kappa	Regression coefficient matrix from covariates (column) to indicators (rows)
covcov	A covariance matrix among covariates

Value

A vector of indicator total variances.

Author(s)

Sunthud Pornprasertmanit ([e-mail])

See Also

• findIndIntercept to find indicator (measurement) intercepts

• findIndMean to find indicator (measurement) total means

• findIndResidualVar to find indicator (measurement) residual 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)
resVar <- c(0.64, 0.51, 0.36, 0.64, 0.51, 0.36)
findIndTotalVar(loading, facCov, resVar)

simsem documentation built on March 29, 2021, 1:07 a.m.