simsem (version 0.2-8)

findFactorTotalCov: Find factor total covariance from regression coefficient matrix, factor residual covariance

Description

Find factor total covariances from regression coefficient matrix, factor residual covariance matrix. The residual covaraince matrix might be derived from factor residual correlation, total variance, and error variance. This function can be applied for path analysis model as well.

Usage

findFactorTotalCov(beta, psi=NULL, corPsi=NULL, totalVarPsi = NULL, errorVarPsi=NULL)

Arguments

beta

Regression coefficient matrix

psi

Factor or indicator residual covariances. This argument can be skipped if factor residual correlation and either total variances or error variances are specified.

corPsi

Factor or indicator residual correlation. This argument must be specified with total variances or error variances.

totalVarPsi

Factor or indicator total variances.

errorVarPsi

Factor or indicator residual variances.

Value

• A matrix of factor (model-implied) total covariance

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
• findFactorTotalVarto find factor total variances

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)
findFactorTotalCov(path, corPsi=facCor, errorVarPsi=residualVar)