Description Usage Arguments Value Examples
checkw
determines if there are sets of weights fulfilling the critical relation for the
covariance matricies of the composites.
1 2 |
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 |
lambdax |
vector of loadings for the X-variables in the model or FALSE |
lambday |
vector of loadings for the Y-variables in the model or FALSE |
wx |
vector of weights for the X-variables in the model or FALSE |
wy |
vector of weights for the Y-variables in the model or FALSE |
Sxixi |
covariance matrix of exogenous composites |
R2 |
vector of coefficients of determination of structural regression equations |
out list with components
crit.value | vector of length 2 with the values of the optimisation criterion |
wx | vector of length p1 of weights for constructing the exogenous composites |
wy | vector of length p2 of weights for constructing the endogenous composites |
1 2 3 4 5 6 7 8 9 10 |
B <- matrix(c(0,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,
0,1,1,0,0,0,0,1,1,1,0,0,1,0,0,0,1,0),6,6,byrow=TRUE)
indicatorx <- c(1,1,1,1,1)
indicatory <- c(1, 1, 1, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5)
lambdax <- c(0.73, 0.60, 0.60, 0.77, 0.74)
lambday <- c(0.79, 0.68, 0.60, 0.90, 0.94, 0.80, 0.65, 0.78, 0.78, 0.74,
0.77, 0.78, 0.80, 0.84, 0.85, 0.86, 0.23, 0.87)
Sxixi <- matrix(1,1,1)
out <- checkw(B,indicatorx,indicatory,lambdax=TRUE,lambday=TRUE,wx=FALSE,wy=FALSE, Sxixi,R2=NULL)
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