simsem (version 0.2-8)

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)

Arguments

beta

Regression coefficient matrix

corPsi

Factor or indicator residual correlations.

residualVarPsi

Factor or indicator residual variances.

Value

• A vector of factor (indicator) total variances

See Also

• findIndInterceptto find indicator (measurement) intercepts
• findIndMeanto find indicator (measurement) total means
• findIndResidualVarto find indicator (measurement) residual variances
• findIndTotalVarto find indicator (measurement) total variances
• findFactorInterceptto find factor intercepts
• findFactorMeanto find factor means
• findFactorResidualVarto find factor residual variances
• findFactorTotalCovto 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
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)