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(1,1,1,1.001035197,1.000999001,1,1.005464481,1.006134969,1,1.001702128,1.00094697,1.001026694,1.004020101,1.002040816,1.001917546,1.001988072,1.003956479,1,1.027863777,1.030366492,1.039667897,1.011965812,1.041425819,1.045634921,1.036166365,1.027884615,1.029307282,1.023299161,1.029322548,1.04007286,1.056244042,1.060665362,1.02905569,1.029623699,1.034605146,1.04511895,1.043737575,1.038350911,1.03820598,1.038139535,1.034985423,1.037420382,1.069767442,1.067095588,1.043613707,1.044591247,1.052719665,1.05982906,1.057037718,1.051184834,1.047579299,1.049415993,1.056057866,1.044962531,1.068717949,1.068709378,1.043205027,1.052047782,1.041736227,1.049913941,1.057657658,1.048932384,1.052067381,1.050412466,1.0496633,1.046004843,1.076771654,1.071808511,1.05390625,1.051697531,1.058823529,1.064435146)
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: Wessa P., (2007), Tukey lambda PPCC Plot (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_tukeylambda.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description
> 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/1mr4n1225106526.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/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/2nwvw1225106526.tab") 
> 
> system("convert tmp/1mr4n1225106526.ps tmp/1mr4n1225106526.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.649   0.188   0.956