R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(14532.2,15167,16071.1,14827.5,15082,14772.7,16083,14272.5,15223.3,14897.3,13062.6,12603.8,13629.8,14421.1,13978.3,12927.9,13429.9,13470.1,14785.8,14292,14308.8,14013,13240.9,12153.4,14289.7,15669.2,14169.5,14569.8,14469.1,14264.9,15320.9,14433.5,13691.5,14194.1,13519.2,11857.9,14616,15643.4,14077.2,14887.5,14159.9,14643,17192.5,15386.1,14287.1,17526.6,14497,14398.3,16629.6,16670.7,16614.8,16869.2,15663.9,16359.9,18447.7,16889,16505,18320.9,15052.1,15699.8,18135.3,16768.7,18883,19021,18101.9,17776.1,21489.9,17065.3,18690,18953.1,16398.9,16895.7,18553,19270,19422.1,17579.4,18637.3,18076.7,20438.6,18075.2,19563,19899.2,19227.5,17789.6,19220.8,22058.6,21230.8,19504.4,23913.1,23165.7,23574.3,25002,22603.9,23408.6)
> #'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/1rqk41229913568.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/240h01229913568.tab") 
> 
> system("convert tmp/1rqk41229913568.ps tmp/1rqk41229913568.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.266   0.309   1.317