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Data:
100.00 106.54 127.63 141.72 147.95 142.16 147.95 155.82 164.13 159.16 147.14 159.16 178.85 200.44 189.43 160.16 157.02 168.91 173.19 175.83 158.78 166.96 171.24 179.55 191.00 196.41 206.80 208.94 224.86 217.31 229.96 252.36 255.25 290.37 269.67 240.53 252.86 265.51 299.31 297.42 277.09 313.59 335.75 370.67 375.33 358.65 334.80 335.05 364.07 350.47 350.16 393.46 405.29 406.86 426.12 422.97 373.63 335.18 329.89 346.32 100.00 106.54 127.63 141.72 147.95 142.16 147.95 155.82 164.13 159.16 147.14 159.16 178.85 200.44 189.43 160.16 157.02 168.91 173.19 175.83 158.78 166.96 171.24 179.55 191.00 196.41 206.80 208.94 224.86 217.31 229.96 252.36 255.25 290.37 269.67 240.53 252.86 265.51 299.31 297.42 277.09 313.59 335.75 370.67 375.33 358.65 334.80 335.05 364.07 350.47 350.16 393.46 405.29 406.86 426.12 422.97 373.63 335.18 329.89 346.32
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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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