# findIndMean: Find indicator total means from factor loading matrix, total... In simsem: SIMulated Structural Equation Modeling

## Description

Find indicator total means from a factor loading matrix, total factor means, and indicator (measurement) intercepts.

## Usage

 ```1 2``` ```findIndMean(lambda, factorMean = NULL, tau = NULL, kappa = NULL, covmean = NULL) ```

## Arguments

 `lambda` Factor loading matrix `factorMean` Total (model-implied) mean of factors. As a default, all total factor means are 0. `tau` Indicator (measurement) intercepts. As a default, all intercepts are 0. `kappa` Regression coefficient matrix from covariates (column) to indicators (rows) `covmean` A vector of covariate means.

## Value

A vector of indicator total means.

## Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

• `findIndIntercept` to find indicator (measurement) intercepts

• `findIndResidualVar` to find indicator (measurement) residual variances

• `findIndTotalVar` to find indicator (measurement) total variances

• `findFactorIntercept` to find factor intercepts

• `findFactorMean` to find factor means

• `findFactorResidualVar` to find factor residual variances

• `findFactorTotalVar` to find factor total variances

• `findFactorTotalCov` to find factor covariances

## Examples

 ```1 2 3 4 5 6``` ```loading <- matrix(0, 6, 2) loading[1:3, 1] <- c(0.6, 0.7, 0.8) loading[4:6, 2] <- c(0.6, 0.7, 0.8) facMean <- c(0.5, 0.2) intcept <- rep(0, 6) findIndMean(loading, facMean, intcept) ```

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