calculateWeightsPCA {cSEM} | R Documentation |
Calculate composite weights using principal component analysis (PCA)
Description
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.
Usage
calculateWeightsPCA(
.S = args_default()$.S,
.csem_model = args_default()$.csem_model
)
Arguments
.S |
The (K x K) empirical indicator correlation matrix. |
.csem_model |
A (possibly incomplete) cSEMModel-list. |
Value
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
[Package cSEM version 0.5.0 Index]