R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(15.22,14.28,14.61,14.19,14.02,14.22,14.80,15.05,15.24,15.85,15.43,15.41,15.53,15.95,15.72,15.68,16.06,15.27,16.01,15.44,15.47,15.49,15.38,16.62,17.25,16.37,16.14,15.76,15.54,15.46,15.26,16.02,15.67,15.67,15.48,16.07,16.65,16.18,16.55,16.58,17.73,17.94,18.66,18.73,19.07,19.48,19.52,19.60,20.32,19.84,19.81,20.64,22.12,21.50,21.77,20.29,21.76,22.35,22.15,23.83,24.46,25.13,24.36,24.45,23.66,25.97,25.20,24.41,25.32,26.36,28.03,28.95,27.25,27.47,28.75,29.24,28.03,27.34,26.47,28.30,27.90,26.69,28.31,28.84,28.56,28.25,28.93,28.22,31.77,31.64,30.60,32.34,31.51,31.39,32.19,33.11,33.99,34.30,34.53,33.67,34.72,34.91,36.24,37.47,36.94,38.55,39.88,37.78,40.09,40.17,40.67,44.82,40.89,41.47,44.67)
> #'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/freestat/rcomp/tmp/1fdo31224763801.ps",horizontal=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/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/228yv1224763801.tab") 
> 
> system("convert tmp/1fdo31224763801.ps tmp/1fdo31224763801.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.952   0.276   1.044