Description Usage Arguments Value
averageR2w
computes the weighted average of average of coefficients of determination for the structural parts
of a segmented GSC model
1 2 | averageR2w(dat, B, indicatorx, indicatory, loadingx = FALSE,
loadingy = FALSE, member)
|
dat |
(n,p)-matrix, the values of the manifest variables. The columns must be arranged in that way that the components of refl are (absolutely) increasing. |
B |
(q,q) lower triangular matrix describing the interrelations of the latent variables: b_ij = 1 regression coefficient of eta_j in the regression relation in which eta_i is the depend variable b_ij = 0 if eta_i does not depend on eta_j in a direct way (b_ii = 0 !) |
indicatorx |
vector describing with which exogenous composite the X-variables are connected |
indicatory |
vector describing with which endogenous composite the Y-variables are connected |
loadingx |
logical TRUE when there are loadings for the X-variables in the model |
loadingy |
logical TRUE when there are loadings for the Y-variables in the model |
member |
vector of length n, indicating the cluster the observation belongs to |
r scalar, 'global' r2 coefficiet of determination
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