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19 19 24 7 17 23 23 21 18 4 27 18 20 15 19 14 14 18 17 20 16 16 11 21 10 18 18 21 16 15 17 15 12 20 20 18 21 22 21 25 12 22 24 17 20 20 19 24 18 15 25 27 17 18 17 24 18 27 18 23 18 21 25 18 19 20 11 22 24 23 16 24 16 16 18 17 21 15 15 19 21 19 19 18 14 17 25 14 19 20 20 20 19 18 22 18 22 19 20 22 22 24 18 21 22 19 18 24 21 21 20 17 20 22 24 24 20 19 20 16 21 22 19 19 13 22 20 21 21 15 23 22 15 20 23 21 18 23 16 18 18 10 17 20 13 25 18 20 18 19 11 17 22 21 19 20 21 22 20 21 15 22 21 28 20 20 23 18 15 19 21 19 16 17 26 20 13 19 21 21 24 23 20 23 24 8 19 18 20 21 16 17 21 27 12 17 17 18 24 18 18 24 18 19 19 24 15 22 17 20 22
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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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