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Data:
58.5 59.8 64.6 62.2 68 64.3 58.9 64.8 67.5 76.2 73.7 70.4 67.7 63.7 72.4 66 70.1 70.4 66.6 72.6 74 79 76.1 72.3 71.6 67.2 73.8 70.8 71.4 70.4 70.7 70.6 75.5 82.1 74.3 76.3 74.5 71.1 73.3 73.8 69 71.1 71.9 69 77.3 82.8 74 77.6 72.3 70.7 81 76.4 72.3 79.5 73.3 74.5 82.7 83.8 81.6 85.5 76.7 71.8 80.2 76.8 76.1 80.7 71.3 80.9 85 84.5 87.7 87.7 80.2 74.4 85.8 77 84.5 83.6 77.7 85.7 87.9 93.7 92.3 87 89.1 81.3 92.7 83.9 87.3 89.1 86.9 91.7 93 105.3 101.6 94.2 100.5 95.8 95.8 102.1 96 96.8 98.9 93.4 105.5 110.9 98.6 102.6 93.5 90.8 99.7 97.8 91.1 98.1 96 93.5 101.2 105.2 98.9 101.3 92.1 90.6 105.4 98.4 92.7 101.2 93.4 98.3 104.3 107 107.7 108.9 99.6 96.1 109 99.5 104.6 99.9 94.1 105.3 110.4 110.5 110 108.5 104.3 101.2 109.2 99.6 105.6 106.2 102.2 107.5 105.8 120.5 113.2 104.3 107.7 99.2 105.1 104.3 106.1 100.8 106.7 101.6 104.4 114.8 105.4 104 102 96.5 102.3 105.3 101.9 102.2 102.8 100.4 110.7 116.4 106 109.2 103 99.8 109.8 107.3 101.2 111.8 106.9 103.5 113.1 119.4 113.3 115 104.7 107.2 116.6 111.3 111.4 115 102.4 111.4 113.2 112.9 114.2 115.6 107.1 102.3 117.9 105.8 114.3 113.1 102.9 112.2
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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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