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

## Description

Find indicator total variances from a factor loading matrix, total factor covariance matrix, and indicator (measurement) residual variances.

## Usage

 ```1 2``` ```findIndTotalVar(lambda, totalFactorCov, residualVarTheta, kappa = NULL, covcov = NULL) ```

## Arguments

 `lambda` Factor loading matrix `totalFactorCov` Total (model-implied) covariance matrix among factors. `residualVarTheta` Indicator (measurement) residual variances. `kappa` Regression coefficient matrix from covariates (column) to indicators (rows) `covcov` A covariance matrix among covariates

## Value

A vector of indicator total variances.

## Author(s)

Sunthud Pornprasertmanit ([email protected])

• `findIndIntercept` to find indicator (measurement) intercepts

• `findIndMean` to find indicator (measurement) total means

• `findIndResidualVar` to find indicator (measurement) residual 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) facCov <- matrix(c(1, 0.5, 0.5, 1), 2, 2) resVar <- c(0.64, 0.51, 0.36, 0.64, 0.51, 0.36) findIndTotalVar(loading, facCov, resVar) ```

simsem documentation built on May 29, 2017, 10:40 a.m.