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Data X:
'R1' 5 5 4 4 5 'R2' 5 5 5 1 5 'R3' 3 5 3 2 4 'R4' 5 4 5 1 3 'R5' 5 5 5 4 5 'R6' 5 5 5 5 5 'R7' 5 4 4 3 5 'R8' 5 5 5 4 5 'R9' 4 5 5 5 5 'R10' 5 5 4 5 5 'R11' 5 5 4 5 5 'R12' 4 5 4 3 3 'R13' 5 5 5 5 5 'R14' 3 3 1 2 3 'R15' 5 5 4 5 4 'R16' 5 5 2 1 5 'R17' 4 5 2 1 5 'R18' 4 5 4 5 5 'R19' 4 5 4 4 5 'R20' 5 5 4 5 5 'R21' 5 5 5 4 5 'R22' 4 4 4 1 4 'R23' 1 1 2 1 4 'R24' 5 5 4 5 4 'R25' 4 5 4 4 5 'R26' 5 5 4 5 5 'R27' 5 5 5 5 4 'R28' 5 5 5 5 5 'R29' 5 4 4 5 5 'R30' 5 5 5 5 5 'R31' 5 5 5 5 5 'R32' 5 4 4 5 5 'R33' 5 5 5 4 5 'R34' 5 5 5 5 5 'R35' 5 5 5 5 5 'R36' 4 5 4 1 5 'R37' 4 2 1 1 5 'R38' 4 2 3 1 4 'R39' 5 4 4 2 4 'R40' 2 2 1 2 2 'R41' 4 5 4 2 4 'R42' 5 5 5 5 5 'R43' 5 5 4 2 5 'R44' 4 4 5 4 5 'R45' 5 5 5 1 5 'R46' 5 5 5 3 5 'R47' 2 2 2 2 2 'R48' 5 5 2 1 3 'R49' 4 4 4 3 5 'R50' 2 5 4 2 5 'R51' 3 4 5 3 3 'R52' 3 2 3 3 3 'R53' 4 4 3 3 3 'R54' 2 4 4 1 4 'R55' 4 5 3 5 5 'R56' 4 4 4 1 4 'R57' 4 4 4 1 5 'R58' 5 4 4 1 5 'R59' 5 4 5 4 5 'R60' 5 5 5 2 5 'R61' 5 5 5 2 5 'R62' 5 5 4 2 5 'R63' 5 5 4 2 5 'R64' 5 5 5 2 5 'R65' 5 5 4 2 5 'R66' 5 5 4 2 5
Names of X columns:
"R" H I J K L
Number of Factors


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R Code
par1 <- '2' 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	1 seconds
R Server	Big Analytics Cloud Computing Center
R Engine error message	Error in array(list("R1", 5, 5, 4, 4, 5, "R2", 5, 5, 5, 1, 5, "R3", 3, : length of 'dimnames' [1] not equal to array extent Execution halted