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Data X:
NA 6 7 6 1 2 3 3 3 2 NA 2 7 7 7 NA 7 3 7 7 3 6 NA 1 3 7 6 1 2 3 5 3 7 6 1 3 1 3 2 1 3 2 2 7 5 3 7 1 3 5 5 7 NA 6 1 3 3 2 1 5 6 3 5 2 7 2 3 1 1 7 1 3 2 2 3 5 3 1 1 7 3 7 2 6 1 7 7 1 2 7 3 NA NA NA 4 6 6 2 2 3 3 3 2 NA 2 7 3 7 NA 7 2 7 7 3 6 NA 1 4 7 6 1 2 3 5 3 7 5 1 3 1 2 2 1 3 2 2 7 5 3 7 1 2 5 5 7 NA 6 1 4 4 2 1 6 6 3 3 2 6 2 3 2 1 6 NA 5 2 2 2 5 2 1 1 7 5 7 2 3 1 7 7 1 3 7 3 NA NA NA 6 7 7 2 4 5 6 4 3 NA 5 7 7 7 NA 7 5 7 7 5 7 NA 1 4 7 7 1 2 3 5 3 7 6 2 6 4 4 5 4 3 3 2 7 5 3 7 1 5 7 6 7 NA 7 5 5 6 3 1 7 6 6 6 3 6 2 5 2 2 6 NA 3 3 1 6 7 3 1 1 7 7 7 3 4 2 7 7 4 3 7 3 NA NA
Names of X columns:
Q7
Number of Factors


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R Code
library(psych) par1 <- as.numeric(par1) x <- t(x) nrows <- length(x[,1]) ncols <- length(x[1,]) y <- array(as.double(x[1:nrows,2:ncols]),dim=c(nrows,ncols-1)) colnames(y) <- colnames(x)[2:ncols] rownames(y) <- x[,1] print(y) fit <- principal(y, nfactors=par1, rotate='varimax') fit fs <- factor.scores(y,fit) fs bitmap(file='test2.png') plot(fs$scores,pch=20) text(fs$scores,labels=rownames(y),pos=3) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Rotated Factor Loadings',par1+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variables',1,TRUE) for (i in 1:par1) { a<-table.element(a,paste('Factor',i,sep=''),1,TRUE) } a<-table.row.end(a) for (j in 1:length(fit$loadings[,1])) { a<-table.row.start(a) a<-table.element(a,rownames(fit$loadings)[j],header=TRUE) for (i in 1:par1) { a<-table.element(a,round(fit$loadings[j,i],3)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center
R Engine error message	Error in array(list(NA, 6, 7, 6, 1, 2, 3, 3, 3, 2, NA, 2, 7, 7, 7, NA, : length of 'dimnames' [1] not equal to array extent Execution halted