averageR2w: For use in boottestgscm.

In cbsem: Simulation, Estimation and Segmentation of Composite Based Structural Equation Models

Description

averageR2w computes the weighted average of average of coefficients of determination for the structural parts of a segmented GSC model

Usage

averageR2w(dat, B, indicatorx, indicatory, loadingx = FALSE,
  loadingy = FALSE, member)

Arguments

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

Value

r scalar, 'global' r2 coefficiet of determination

cbsem documentation built on May 2, 2019, 5:56 a.m.