R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(293403
+ ,277108
+ ,264020
+ ,260646
+ ,246100
+ ,244051
+ ,241329
+ ,234730
+ ,234509
+ ,233482
+ ,233406
+ ,228548
+ ,223914
+ ,223696
+ ,223004
+ ,213765
+ ,210554
+ ,202204
+ ,199512
+ ,195304
+ ,191467
+ ,191381
+ ,191276
+ ,190410
+ ,188967
+ ,188780
+ ,185139
+ ,185039
+ ,184217
+ ,181853
+ ,181379
+ ,181344
+ ,179562
+ ,178863
+ ,178140
+ ,176789
+ ,176460
+ ,175877
+ ,175568
+ ,174107
+ ,173587
+ ,173260
+ ,172684
+ ,167845
+ ,167131
+ ,167105
+ ,166790
+ ,164767
+ ,162810
+ ,162336
+ ,161678
+ ,158980
+ ,157250
+ ,156833
+ ,155383
+ ,154991
+ ,154730
+ ,151503
+ ,146455
+ ,143937
+ ,142339
+ ,142146
+ ,142141
+ ,142069
+ ,141933
+ ,139350
+ ,139144
+ ,137793
+ ,136911
+ ,136548
+ ,135171
+ ,134043
+ ,131876
+ ,131122
+ ,130539
+ ,130533
+ ,130232
+ ,129100
+ ,128655
+ ,128066
+ ,127619
+ ,127324
+ ,126683
+ ,126681
+ ,125971
+ ,125366
+ ,122433
+ ,121135
+ ,119291
+ ,118958
+ ,118807
+ ,118372
+ ,116900
+ ,116775
+ ,115199
+ ,114928
+ ,114397
+ ,113337
+ ,111664
+ ,108715
+ ,107342
+ ,107335
+ ,106539
+ ,105615
+ ,105410
+ ,105324
+ ,103012
+ ,102531
+ ,101324
+ ,100885
+ ,100672
+ ,99946
+ ,99768
+ ,99246
+ ,98599
+ ,98030
+ ,94763
+ ,93340
+ ,93125
+ ,91185
+ ,90961
+ ,90938
+ ,89318
+ ,88817
+ ,84944
+ ,84572
+ ,84256
+ ,80953
+ ,78800
+ ,78776
+ ,75812
+ ,75426
+ ,74398
+ ,74112
+ ,73567
+ ,69471
+ ,68948
+ ,67746
+ ,67507
+ ,65029
+ ,64320
+ ,61857
+ ,61499
+ ,50999
+ ,46660
+ ,43287
+ ,38214
+ ,35523
+ ,32750
+ ,31414
+ ,24188
+ ,22938
+ ,21054
+ ,17547
+ ,14688
+ ,7199
+ ,969
+ ,455
+ ,203
+ ,98
+ ,0
+ ,0
+ ,0
+ ,0)
> #'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/wessaorg/rcomp/tmp/146a71346340198.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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/2iacx1346340198.tab") 
> 
> try(system("convert tmp/146a71346340198.ps tmp/146a71346340198.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.094   0.184   1.265