studySim <- function(var, nFactors, pmjc, loadings, unique, N, repsim, reppar, stats=1, quantile=0.5, model="components", r2limen=0.75, all=FALSE, dir=NA, trace=TRUE) { nsubjects <- N result <- NULL id <- 0 nid <- length(nFactors) * length(loadings) * length(pmjc) * length(var) * length(unique) * length(nsubjects) for (i in 1:length(nFactors)) { for (j in 1:length(loadings)) { for (l in 1:length(pmjc)) { for (n in 1:length(var)) { for (k in 1:length(unique)) { for (m in 1:length(nsubjects)) { id <- id + 1 kid <- paste(id,"/",nid,sep="") ident <- c(nFactors=nFactors[i], loadings=loadings[j], unique=unique[k], quantile=quantile, pmjc=pmjc[l], nsubjects=nsubjects[m], var=var[n], reppar=reppar, repsim=repsim, id=kid, model=model) if (trace == TRUE) print(ident) fStruct <- generateStructure(var=var[n], mjc=nFactors[i], pmjc=pmjc[l], loadings=loadings[j], unique=unique[k]) fSim <- structureSim(fload=as.matrix(fStruct), reppar=reppar, repsim=repsim, details=FALSE, all=all, N=nsubjects[m], quantile=quantile, model=model, r2limen=r2limen)[[2]][stats,] if (length(stats) == 1) { fSim <- data.frame(var=var[n], nsubjects=nsubjects[m], nfactors=nFactors[i], pmjc=pmjc[l], loadings=loadings[j], unique=unique[k], t(fSim), repsim=repsim, reppar=reppar) } if (length(stats) > 1) { ls <- length(stats) info <- data.frame(stats =rownames(fSim), id =rep(id, ls), var =rep(var[n], ls), nsubjects=rep(nsubjects[m], ls), nfactors=rep(nFactors[i], ls), pmjc =rep(pmjc[l], ls), loadings=rep(loadings[j], ls), unique =rep(unique[k], ls), repsim =rep(repsim, ls), reppar =rep(reppar, ls)) fSim <- data.frame(info, fSim) } result <- rbind(result, fSim) rownames(result) <- 1:dim(result)[1] fString <- paste("RES_", paste(ident,"_", sep="", collapse=""), sep="") if (!is.na(dir)) save("fSim", file=paste(dirPack, fString,".Rdata", sep="")) }}}}}} return(result) }