findFactorTotalVar: Find factor total variances from regression coefficient matrix, factor (residual) correlations, and factor residual variances

Description

Find factor total variances from regression coefficient matrix, factor (residual) correlation matrix, and factor residual variances for latent variable models. In the path analysis model, this function will find indicator total variances from regression coefficient, indicator (residual) correlation matrix, and indicator residual variances.

Usage

findFactorTotalVar(beta, corPsi, residualVarPsi, gamma = NULL, covcov = NULL)

Value

A vector of factor (indicator) total variances

Arguments

beta: Regression coefficient matrix among factors
corPsi: Factor or indicator residual correlations.
residualVarPsi: Factor or indicator residual variances.
gamma: Regression coefficient matrix from covariates (column) to factors (rows)
covcov: A covariance matrix among covariates

Author

Sunthud Pornprasertmanit (psunthud@gmail.com)

Examples

Run this code

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
facCor <- diag(9)
facCor[1, 2] <- facCor[2, 1] <- 0.4
facCor[1, 3] <- facCor[3, 1] <- 0.4
facCor[2, 3] <- facCor[3, 2] <- 0.4
residualVar <- c(1, 1, 1, 0.64, 0.288, 0.288, 0.64, 0.29568, 0.21888)
findFactorTotalVar(path, facCor, residualVar)

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