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Data X:
116.1 102.5 102.0 101.3 100.6 100.9 104.2 108.3 108.9 109.9 106.8 112.7 113.4 101.3 97.8 95.0 93.8 94.5 101.4 105.8 106.6 109.7 108.8 113.4 113.7 103.6 98.2 95.5 94.4 95.9 103.2 104.1 127.6 130.3 133.0 140.4 123.5 116.9 115.9 113.1 112.1 112.4 118.9 117.4 115.6 120.7 114.9 122.0 119.6 114.6 118.4 110.9 111.6 114.6 112.1 117.4 114.8 123.4 118.1 121.9 123.3
Data Y:
118.9 108.8 115.6 95.0 92.8 108.9 109.8 106.1 102.8 98.4 85.7 114.6 129.4 117.7 126.6 103.8 101.5 118.7 119.6 114.8 109.9 106.3 95.0 124.5 140.4 128.8 137.5 113.3 110.3 129.1 128.4 120.3 113.6 96.9 124.7 126.4 131.9 122.5 113.1 99.8 116.0 115.0 114.0 111.0 91.7 90.6 103.3 106.7 111.2 102.9 126.5 115.1 110.2 110.1 103.3 107.7 103.9 114.0 117.2 117.0 116.5
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R Code
n <- length(x) c <- array(NA,dim=c(401)) l <- array(NA,dim=c(401)) mx <- 0 mxli <- -999 for (i in 1:401) { l[i] <- (i-201)/100 if (l[i] != 0) { x1 <- (x^l[i] - 1) / l[i] } else { x1 <- log(x) } c[i] <- cor(x1,y) if (mx < abs(c[i])) { mx <- abs(c[i]) mxli <- l[i] } } c mx mxli if (mxli != 0) { x1 <- (x^mxli - 1) / mxli } else { x1 <- log(x) } r<-lm(y~x) se <- sqrt(var(r$residuals)) r1 <- lm(y~x1) se1 <- sqrt(var(r1$residuals)) bitmap(file='test1.png') plot(l,c,main='Box-Cox Linearity Plot',xlab='Lambda',ylab='correlation') grid() dev.off() bitmap(file='test2.png') plot(x,y,main='Linear Fit of Original Data',xlab='x',ylab='y') abline(r) grid() mtext(paste('Residual Standard Deviation = ',se)) dev.off() bitmap(file='test3.png') plot(x1,y,main='Linear Fit of Transformed Data',xlab='x',ylab='y') abline(r1) grid() mtext(paste('Residual Standard Deviation = ',se1)) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Box-Cox Linearity Plot',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations x',header=TRUE) a<-table.element(a,n) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum correlation',header=TRUE) a<-table.element(a,mx) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'optimal lambda(x)',header=TRUE) a<-table.element(a,mxli) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Residual SD (orginial)',header=TRUE) a<-table.element(a,se) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Residual SD (transformed)',header=TRUE) a<-table.element(a,se1) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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1 seconds
R Server
Big Analytics Cloud Computing Center
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