findFactorMean: Find factor total means from regression coefficient matrix...

In simsem: SIMulated Structural Equation Modeling

Description

Find factor total means from regression coefficient matrix and factor intercepts for latent variable models. In the path analysis model, this function will find indicator total means from regression coefficient and indicator intercept.

Usage

findFactorMean(beta, alpha = NULL, gamma = NULL, covmean = NULL)

Arguments

beta	Regression coefficient matrix among factors
alpha	Factor (indicator) intercept. The default is that all factor intercepts are 0.
gamma	Regression coefficient matrix from covariates (column) to factors (rows)
covmean	A vector of covariate means.

Value

A vector of factor (indicator) total means

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

• findIndTotalVar to find indicator (measurement) total variances

• findFactorIntercept to find factor intercepts

• findFactorResidualVar to find factor residual variances

• findFactorTotalVar to find factor total variances

• findFactorTotalCov to find factor covariances

Examples

path <- matrix(0, 9, 9)
path[4, 1] <- path[7, 4] <- 0.6
path[5, 2] <- path[8, 5] <- 0.6
path[6, 3] <- path[9, 6] <- 0.6
path[5, 1] <- path[8, 4] <- 0.4
path[6, 2] <- path[9, 5] <- 0.4
intcept <- c(5, 2, 3, 0, 0, 0, 0, 0, 0)
findFactorMean(path, intcept)

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