simsem (version 0.2-8)

findFactorMean: Find factor total means from regression coefficient matrix and factor intercept

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)

Arguments

beta

Regression coefficient matrix

alpha

Factor (indicator) intercept. The default is that all factor intercepts are 0.

Value

• A vector of factor (indicator) total means

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
• findFactorResidualVarto find factor residual variances
• findFactorTotalVarto find factor total 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
intcept <- c(5, 2, 3, 0, 0, 0, 0, 0, 0)
findFactorMean(path, intcept)