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Data X:
'Case1' 2 2 2 4 2 5 4 5 2 2 4 5 0 0 0 0 0 1 1 0 1 0 1 1 0 'Case2' 2 2 2 2 1 4 2 5 2 2 4 2 0 1 1 1 1 0 0 0 1 1 1 1 0 'Case3' 2 2 2 5 2 2 2 2 2 2 5 5 1 1 1 0 1 1 1 1 1 1 1 1 1 'Case4' 1 1 1 4 1 4 4 4 2 2 4 4 0 0 1 1 1 1 1 1 1 0 1 1 0 'Case5' 1 1 1 2 1 2 2 2 2 2 4 4 0 1 0 0 0 0 0 0 1 0 0 1 0 'Case6' 1 1 1 2 2 4 2 2 1 1 2 4 0 1 1 1 0 1 0 0 0 1 1 1 1 'Case7' 3 4 2 NA 2 4 NA 4 4 4 4 NA NA NA NA 0 1 1 0 0 1 1 NA 1 NA 'Case8' 2 2 2 2 NA 4 4 4 NA 2 4 NA NA 0 0 1 0 1 1 0 1 1 0 1 1 'Case9' 1 2 1 2 1 2 2 4 2 4 4 4 0 0 1 0 0 1 1 0 1 0 1 1 0 'Case10' 4 2 2 2 2 2 2 2 4 NA 2 4 0 0 0 0 1 1 0 0 0 0 0 1 0 'Case12' 1 1 1 4 1 2 2 1 1 1 4 5 0 0 1 0 1 1 0 NA 0 0 1 0 0 'Case13' 2 4 4 5 2 4 4 2 4 2 4 4 0 0 0 0 1 1 1 1 0 1 0 0 0 'Case14' 2 1 1 1 1 2 1 1 1 1 2 2 0 0 1 0 1 1 0 0 0 0 0 1 0 'Case15' 4 2 2 2 2 4 2 2 4 4 4 4 0 0 1 0 1 1 0 0 0 0 0 1 0 'Case16' 2 2 4 2 2 4 NA 4 4 4 4 NA 1 1 1 0 1 1 1 0 1 0 0 1 0 'Case17' 2 2 2 2 2 2 2 2 2 4 4 4 0 0 1 0 1 1 0 0 0 0 1 0 0 'Case18' 2 2 1 2 1 1 2 1 1 1 2 1 1 0 1 0 1 1 0 0 1 0 1 0 1 'Case19' 1 1 1 1 1 2 2 2 2 2 2 2 1 1 1 0 0 1 1 1 1 0 1 1 1 'Case20' 1 2 2 2 1 2 2 4 2 2 4 4 1 0 1 1 0 0 0 0 1 0 0 1 0 'Case21' 2 4 1 1 1 2 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 0 0 1 1 'Case22' 2 2 4 2 2 2 2 2 2 2 4 4 0 1 1 0 1 0 0 1 0 0 0 1 0 'Case23' 2 2 2 4 2 4 NA 2 2 4 4 4 1 1 1 0 1 0 0 0 0 1 1 1 0 'Case24' 2 2 2 2 2 4 2 2 2 2 4 2 1 1 1 1 1 1 1 0 0 0 1 1 1 'Case25' 2 2 1 2 2 4 2 1 1 2 4 4 0 0 1 0 0 0 0 0 0 0 0 1 0 'Case26' 2 2 2 4 4 4 4 2 2 2 4 4 1 0 1 0 1 1 0 0 0 1 0 1 0 'Case27' 2 2 2 4 4 4 4 2 2 2 4 4 1 0 1 0 1 1 0 0 0 0 NA 1 0 'Case28' 4 2 2 5 2 5 4 4 4 5 4 4 0 0 1 0 1 1 0 0 0 0 1 1 0 'Case29' 2 2 2 2 2 2 2 2 2 2 2 4 0 0 0 0 1 0 0 0 0 1 1 1 0 'Case30' 2 2 1 2 1 2 2 2 4 2 4 4 0 0 1 0 1 0 1 0 1 0 1 0 0 'Case31' 4 5 2 4 2 4 2 4 4 2 4 4 1 1 1 0 1 1 0 0 0 1 0 1 0 'Case32' 4 4 4 4 2 4 2 4 4 4 4 2 0 0 0 0 1 1 0 0 0 1 0 1 0 'Case33' 4 2 2 2 2 4 4 4 4 4 5 4 0 0 0 0 0 1 0 0 1 0 0 0 1 'Case34' 2 2 2 3 2 4 2 4 3 3 4 5 0 0 1 0 1 1 0 1 1 1 1 1 0 'Case35' 2 NA 2 NA 2 4 4 4 2 4 5 4 1 1 1 0 1 0 1 0 1 0 0 1 0 'Case36' 4 2 4 NA 4 2 5 4 4 4 5 4 0 1 1 0 1 1 NA 0 1 0 0 1 0 'Case37' 1 4 2 4 2 4 5 2 2 2 4 4 0 0 1 0 1 1 0 1 0 0 0 1 0 'Case38' 4 2 4 2 2 4 2 5 4 4 5 5 0 0 1 0 1 1 0 0 0 0 1 1 0 'Case39' 1 1 1 1 1 4 1 4 1 1 4 4 0 1 NA NA NA NA NA NA NA NA NA NA NA 'Case40' 2 2 4 NA 5 NA 4 5 2 2 4 4 0 0 1 0 1 1 0 0 0 NA NA 1 0 'Case41' 2 4 2 2 NA 2 2 4 4 4 4 4 0 NA 0 0 1 1 0 0 0 NA 0 1 0 'Case42' 2 4 4 2 4 4 4 2 4 4 4 4 0 0 0 0 1 1 0 0 1 0 0 1 0 'Case43' 4 4 2 2 2 2 2 2 2 2 2 2 1 1 1 1 0 1 1 1 1 0 1 1 1 'Case44' 2 2 4 2 2 4 2 4 2 2 4 2 0 0 1 1 0 1 1 0 1 1 1 0 0 'Case45' 4 4 2 4 1 5 4 5 2 4 5 5 0 0 1 0 1 1 0 0 1 1 0 1 0
Names of X columns:
label 1a 1b 1c 1d 1e 1f 1g 1h 1i 1j 1k 1l 2 3 4a 6 7 8 9 10 11 12 13 14 15
Number of Factors
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R Code
par1 <- '4' 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] y fit <- principal(y, nfactors=par1, rotate='varimax') fit fs <- factor.scores(y,fit) fs bitmap(file='test1.png') fa.diagram(fit) dev.off() 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')
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