boottestgscm: Testing two segmentations of a GSC model

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

Description

boottestgscm computes a confidence interval for the difference of weighted average of averages of coefficients of determination for two segmentations of a GSC model For a one sided alternative hypothesis the error alpha has to be duplicated

Usage

boottestgscm(dat, B, indicatorx, indicatory, loadingx = FALSE,
  loadingy = FALSE, member1, member2, alpha, inner = FALSE)

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 FALSE when there are no loadings for the X-variables in the model
loadingy	logical FALSE when there are no loadings for the Y-variables in the model
member1	vector of length n, indicating the cluster the observation belongs to for the first clustering
member2	vector of length n, indicating the cluster the observation belongs to for the second clustering
alpha	scalar, significance level ( = 1 - confidence level )
inner	Boolean, should a inner bootstrap loop be computed?

Value

KI vector with the confidence bounds; positive lower limit indicates significant superiority of first clustering, negative upper limit of second clustering.

Examples

 
  data(twoclm)
  member1 <- c(rep(1,50),rep(2,50))
  member2 <- twoclm[,10]
  dat <- twoclm[,-10]
  B <- matrix(c( 0,0,0, 0,0,0, 1,1,0),3,3,byrow=TRUE)
  indicatorx <- c(1,1,1,2,2,2)
  indicatory <- c(1,1,1)   
  boottestgscm(dat,B,indicatorx,indicatory,loadingx=FALSE,loadingy=FALSE,
               member2,member1,0.1,inner=FALSE)

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