R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(3.56,1.33,0.00,0.69,10.05,0.51,0.91,2.67,1.39,1.24,2.79,3.37,1.60,4.73,0.79,0.67,0.00,0.60,0.40,2.24,5.74,0.06,0.87,4.91,1.93,0.41,1.21,2.01,0.00,6.49,0.00,0.31,4.87,1.37,0.19,0.34,3.60,0.10,2.10,0.10,7.27,0.76,1.09,0.34,4.13,1.89,3.80,2.47,0.00,1.01,1.21,0.54,2.86,0.04,1.03,0.23,0.20,13.87,0.36,0.56,1.98,3.83,1.46,2.00,4.96,2.76,2.10,2.09,2.21,2.90,0.57,1.79,0.80,2.66,1.70,0.79,0.30,8.09,0.97,0.07,1.47,2.74,3.14,0.96,0.00,0.00,2.80,0.23,2.69,0.23,3.60,0.93,2.56,0.74,0.07,0.76,2.73,4.30,0.19,1.19,1.43,9.63,10.44,4.36)
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> 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)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1u3ou1292928098.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((-100:100)/100,c[1:201],xlab='lambda',ylab='correlation',main='PPCC Plot - Tukey lambda')
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/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="/var/www/html/rcomp/tmp/28u3k1292928098.tab") 
> 
> try(system("convert tmp/1u3ou1292928098.ps tmp/1u3ou1292928098.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.434   0.191   0.902