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Residuals for matrices

Source: R/GLM_EFA.R
compute_residual_stats.Rd

Root Mean Squared Residual Number of absolute residuals > 0.05 Proportion of absolute residuals > 0.05. It can either accept a psych EFA model or it can compare two correlation or covariance matrices

Usage

compute_residual_stats(model, data = NULL)

Arguments

model

psych EFA model. It has to be a correlation or covariance matrix if data is not NULL

data

correlation or covariance matrix

Examples

model<-psych::fa(mtcars,nfactors=2,rotate="oblimin",fm="pa",oblique.scores=TRUE)
compute_residual_stats(model)
#>                       residual_statistics       value critical                              formula
#> 1              Root Mean Squared Residual  0.04419293       NA              sqrt(mean(residuals^2))
#> 2     Number of absolute residuals > 0.05 13.00000000       NA                  abs(residuals)>0.05
#> 3 Proportion of absolute residuals > 0.05  0.23636364      0.5 numberLargeResiduals/nrow(residuals)