View source: R/estimators_weights.R
calculateWeightsPCA | R Documentation |
Calculate weights for each block by extracting the first principal component of the indicator correlation matrix S_jj for each blocks, i.e., weights are the simply the first eigenvector of S_jj.
calculateWeightsPCA( .S = args_default()$.S, .csem_model = args_default()$.csem_model )
.S |
The (K x K) empirical indicator correlation matrix. |
.csem_model |
A (possibly incomplete) cSEMModel-list. |
A named list. J stands for the number of constructs and K for the number of indicators.
$W
A (J x K) matrix of estimated weights.
$E
NULL
$Modes
The mode used. Always "PCA".
$Conv_status
NULL
as there are no iterations
$Iterations
0 as there are no iterations
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