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Data:
-2.574 -3.04 0.4953 0.9604 -1.04 0.4255 -0.5745 0.9604 -0.03959 0.9604 -4.04 -3.04 1.96 3.426 -0.03959 -1.04 -4.04 -1.04 2.96 3.96 2.96 -3.04 0.9604 -2.04 1.426 0.9604 -2.04 4.96 -1.04 0.9604 -0.5745 -4.04 -0.03959 -1.109 0.9604 -1.04 4.426 0.9604 -3.04 -0.03959 -3.04 0.4255 -5.04 -1.04 -1.04 -2.04 2.96 1.96 1.426 1.96 1.495 -1.505 -0.5745 -2.04 -3.04 -1.04 0.4953 -1.04 -0.03959 -1.04 0.9604 -0.5047 -0.03959 -1.04 -2.109 -0.03959 2.96 0.9604 0.9604 -1.04 -2.04 -0.03959 -2.574 -0.5047 3.96 1.426 3.96 1.96 -2.04 -0.03959 0.4255 -0.03959 -0.03959 -1.04 -2.505 -1.04 0.9604 -1.04 -0.03959 0.9604 -1.04 -0.5047 2.96 0.4953 -1.04 -0.03959 2.495 -6.04 0.9604 -4.04 0.9604 0.9604 -0.03959 0.9604 3.96 -0.03959 4.96 1.96 2.96 3.96 -1.04 -4.04 0.4255 -1.04 -2.04 -1.04 -2.04 -1.04 1.96 -2.04 -0.03959 2.96 -0.03959 -2.04 -0.03959 2.96 -1.04 -3.04 -0.03959 -2.574 2.96 0.4953 -3.574 1.426 1.96 2.96 1.426 -2.04 0.4953 -4.505 -0.5745 2.96 2.96 1.96 0.4953 1.96 1.495 1.426 1.96 0.4255 2.96 -0.03959 -2.04 0.9604 -0.03959 0.9604 -0.03959 -1.04 1.96 -1.04 -0.5047 -1.04 -1.04 0.9604 -0.5745 -0.03959 -1.04 -2.04
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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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