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26 18 28 14 27 24 22 21 24 26 17 23 21 21 24 22 24 24 24 24 23 24 21 23 20 23 23 23 23 27 19 25 25 21 25 17 23 27 27 19 23 25 16 23 25 26 24 27 19 20 21 26 21 25 27 26 25 28 22 21 24 26 23 15 22 25 24 21 17 26 20 22 24 23 22 28 21 24 28 25 24 24 21 26 16 22 24 19 25 24 28 23 19 19 27 24 26 21 25 19 20 26 27 23 18 23 21 23 22 21 24 26 24 26 22 20 20 20 18 18 25 28 23 20 22 23 20 24 18 23 21 19 19 25 18 22 5 24 28 27 23 24 25 19 14 24 28 19 23 23 26 25 24 23 22 26 23 22 22 17 22 21 26 24 27 22 23 22 20 27 20 22 26 26 21 24 19 23 26 20 25 17 24 22 20 28 20 26 21 21 25 25 23 23 28 21 21 28 25 28 28 25 25 26 27 24 21 26 23 20 26 27 21 27 23 20 23 21 28 23 27 23 22 26 23 28 26 24 23 28 21 28 24 22 25 28 24 25 24 25 27 28 23 27 21 24 25 27 14 24 22 16 26 26 24 20 21 26 23 16 25 15 25 22 19 22 24 10 24 23 22 24 23 27 28 21 23 25 23 22 23 22 27 24 24 20 19 23 21 27 19 25 25 24 26 21 22 26 20 21 28 25 27 18 14 25 23 24 19 19 23 23 20 23 22 23 22 21 22 26 24 24 26 26 22 27 24 23 24 11 25 19 25 28 18 23 24 25 24 21 19 25 23 25 26 18 22 22 18 25 21 19 21 22 27 23 21 26 28 28 21 24 28 21 26 20 19 23 26 19 15 27 26 25 26 24 25 23 19 19 28
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R Code
gp <- function(lambda, p) { (p^lambda-(1-p)^lambda)/lambda } sortx <- sort(x) c <- array(NA,dim=c(201)) for (i in 1:201) { if (i != 101) c[i] <- cor(gp(ppoints(x), lambda=(i-101)/100),sortx) } bitmap(file='test1.png') plot((-100:100)/100,c[1:201],xlab='lambda',ylab='correlation',main='PPCC Plot - Tukey lambda') grid() dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Tukey Lambda - Key Values',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Distribution (lambda)',1,TRUE) a<-table.element(a,'Correlation',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Approx. Cauchy (lambda=-1)',header=TRUE) a<-table.element(a,c[1]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Exact Logistic (lambda=0)',header=TRUE) a<-table.element(a,(c[100]+c[102])/2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Approx. Normal (lambda=0.14)',header=TRUE) a<-table.element(a,c[115]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'U-shaped (lambda=0.5)',header=TRUE) a<-table.element(a,c[151]) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Exactly Uniform (lambda=1)',header=TRUE) a<-table.element(a,c[201]) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
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