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Data:
4.8 4.8 4.7 4.7 4.7 4.6 5.0 5.4 5.5 5.6 5.6 5.8 6.0 6.1 6.1 6.0 6.0 6.1 6.5 7.1 7.4 7.4 7.5 7.6 7.8 7.8 7.7 7.6 7.5 7.3 7.6 8.0 8.8 7.9 7.8 7.7 7.8 7.7 7.5 7.3 7.1 7.0 7.3 7.8 7.9 7.9 7.8 7.8 7.9 7.8 7.6 7.4 7.2 6.9 7.1 7.5 7.6 7.4 7.3 7.2 7.3 7.2 7.1 7.0 6.9 6.8 7.2 7.6 7.7 7.6 7.5 7.5 7.6 7.6 7.6 7.5 7.3 7.2 7.4 8.0 8.2 8.0 7.7 7.7 7.8 7.8 7.7 7.5 7.3 7.1 7.1 7.2 6.8 6.6 6.4 6.4 6.5 6.3 5.9 5.5 5.2 4.9 5.4 5.8 5.7 5.6 5.5 5.4 5.4 5.4 5.5 5.8 5.7 5.4 5.6 5.8 6.2 6.8 6.7 6.7 6.4 6.3 6.3 6.4 6.3 6.0 6.3 6.3 6.6 7.5 7.8 7.9 7.8 7.6 7.5 7.6 7.5 7.3 7.6 7.5 7.6 7.9 7.9 8.1 8.2 8.0 7.5 6.8 6.5 6.6 7.6 8.0 8.1 7.7 7.5 7.6 7.8 7.8 7.8 7.5 7.5 7.1 7.5 7.5 7.6 7.7 7.7 7.9 8.1 8.2 8.2 8.2 7.9 7.3 6.9 6.6 6.7 6.9 7.0 7.1
Type of transformation
50
Full Box-Cox transform
Simple Box-Cox transform
Minimum lambda
50
-2
-8
-7
-6
-5
-4
-3
-2
-1
Maximum lambda
0
2
1
2
3
4
5
6
7
8
Constant term to be added before analysis is performed
(?)
Display table with original and transformed data?
0
No
Yes
Chart options
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(qnorm(ppoints(x), mean=0, sd=1),x1) if (mx < c[i]) { mx <- c[i] mxli <- l[i] } } c mx mxli if (mxli != 0) { x1 <- (x^mxli - 1) / mxli } else { x1 <- log(x) } bitmap(file='test1.png') plot(l,c,main='Box-Cox Normality Plot',xlab='Lambda',ylab='correlation') mtext(paste('Optimal Lambda =',mxli)) grid() dev.off() bitmap(file='test2.png') hist(x,main='Histogram of Original Data',xlab='X',ylab='frequency') grid() dev.off() bitmap(file='test3.png') hist(x1,main='Histogram of Transformed Data',xlab='X',ylab='frequency') grid() dev.off() bitmap(file='test4.png') qqnorm(x) qqline(x) grid() mtext('Original Data') dev.off() bitmap(file='test5.png') qqnorm(x1) qqline(x1) grid() mtext('Transformed Data') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Box-Cox Normality 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',header=TRUE) a<-table.element(a,mxli) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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