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Data:
1.74138367229942 -2.88580372001652 -3.00801521083293 5.35873352650856 -0.350197418097050 -4.44477983570422 -14.1704246279256 5.06291770302617 8.16317098727172 -6.63032011800066 -0.955084752066612 4.76580237731785 4.64634662056524 -3.37632197945722 -3.48596660066835 0.00318885841739619 -2.30873579009489 4.510676743397 3.86380235714235 -4.84743390386536 1.19326683102373 9.49359417425812 -5.7256091522179 -6.7409221436693 -8.37465970382766 2.41947579953488 2.51107146040831 2.31318281556092 -3.02118693681124 3.49111382410466 -5.27208657466297 -1.65652539783093 1.158900365591 3.29699796504326 5.45943755223924 -3.39089745529757 -3.24888068501405 -3.76725354399628 -1.01610429731824 -0.141686930225946 -2.40143497370904 3.01483128334767 -2.37153731174333 1.90350531137286 -3.75249259201867 -1.15949421149824 1.41625767699710 0.756276066572336 1.74232125798030 -2.82713799160403 2.91169906841461 -7.53666538846806 8.89398251304836 -1.48741996092416 3.26139630257603 -3.15021888842772 3.8905793816289 7.41906373843078 7.78286136215999 -3.77518512848798 0.0882557144562938 1.75385231671455 1.56061031268522 -1.4983198165646 4.36211820238709 2.31013654316626 -2.33448411305145 -1.40752353154939
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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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