findIndMean: Find indicator total means from factor loading matrix, total...

In simsem: SIMulated Structural Equation Modeling

Description

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

Usage

findIndMean(lambda, factorMean = NULL, tau = 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.
tau	Indicator (measurement) intercepts. As a default, all intercepts are 0.
kappa	Regression coefficient matrix from covariates (column) to indicators (rows)
covmean	A vector of covariate means.

Value

A vector of indicator total means.

Author(s)

Sunthud Pornprasertmanit ([e-mail])

See Also

• findIndIntercept to find indicator (measurement) intercepts

• 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)
intcept <- rep(0, 6)
findIndMean(loading, facMean, intcept)

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