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Data:
2.61072861587664 -1.64151512748939 -5.53397130675664 -11.8684507675144 4.92307208512571 6.26712823161773 -2.76872599233773 -3.56312607919330 3.84610531691476 3.92414528449639 -2.60085355983359 -4.52415672464345 0.712363410392165 -3.83027221556495 1.64369314986718 5.1373157082981 -4.77891279135298 -0.543348509239105 10.7317442356705 -7.66239213978311 -6.30680235597392 -7.34729981849825 0.617800822224108 2.85035364935883 1.77740032934145 -3.90118201853709 4.6323076169406 -1.74030963922678 -3.27944132766354 1.09665938498306 7.05463838922537 2.50775091630909 -4.16477564673257 -3.97156359496111 -4.61876313016936 -1.80864980481552 -0.236907168104795 -3.15041173459177 3.37110805438328 -2.30793345402054 2.737897737493 -1.58208769004317 -2.47767476900079 0.167763916859109 1.76974633325578 0.440544884754961 -2.45008188331654 4.47063460393658 -6.94943202424074 8.91682112964061 -0.296516314946182 2.40580572796091 -1.75212202583747 5.39306701500983 6.30609401440519 7.82784320522538 -2.60554495964265 1.29269020570918 1.09083902934299 0.640809564220057 -0.654553416503333 3.45822878067978 1.27021269162882 -1.88415061828193 0.908614567669563
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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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Big Analytics Cloud Computing Center
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