Find indicator total variances from factor loading matrix, total factor covariance, and indicator residual variances.
Find indicator total variances from a factor loading matrix, total factor covariance matrix, and indicator (measurement) residual variances.
findIndTotalVar(lambda, totalFactorCov, residualVarTheta, kappa = NULL, covcov = NULL)
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 |
A vector of indicator total variances.
Sunthud Pornprasertmanit (psunthud@gmail.com)
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
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)
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