Find indicator residual variances from factor loading matrix, total factor covariance, and total indicator variances.
Find indicator (measurement) residual variances from a factor loading matrix, total factor covariance matrix, and total indicator variances.
findIndResidualVar(lambda, totalFactorCov, totalVarTheta = NULL, kappa = NULL, covcov = NULL)
lambda |
Factor loading matrix |
totalFactorCov |
Total (model-implied) covariance matrix among factors. |
totalVarTheta |
Indicator total variances. As a default, all total variances are 1. |
kappa |
Regression coefficient matrix from covariates (column) to indicators (rows) |
covcov |
A covariance matrix among covariates |
A vector of indicator residual variances.
Sunthud Pornprasertmanit (psunthud@gmail.com)
findIndIntercept
to find indicator (measurement) intercepts
findIndMean
to find indicator (measurement) total means
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
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) totalVar <- rep(1, 6) findIndResidualVar(loading, facCov, totalVar)
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