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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You are welcome to redistribute it under certain conditions.
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(112.1294759
+ ,123.1474443
+ ,119.3806175
+ ,121.5465429
+ ,124.3716631
+ ,85.47917603
+ ,88.86932018
+ ,128.3268312
+ ,141.0398718
+ ,117.9680574
+ ,101.9590434
+ ,103.0890915
+ ,111.9411345
+ ,120.6990069
+ ,111.9411345
+ ,111.9411345
+ ,117.0263507
+ ,89.99936823
+ ,68.90513797
+ ,113.4478653
+ ,105.9142116
+ ,119.2864468
+ ,114.954596
+ ,106.7617476
+ ,110.2460624
+ ,143.0174559
+ ,125.5958818
+ ,106.7617476
+ ,147.2551361
+ ,79.16974108
+ ,92.63614701
+ ,137.6497276
+ ,141.0398718
+ ,123.4299564
+ ,112.5061585
+ ,127.5734659
+ ,130.5869273
+ ,152.1520109
+ ,131.3402927
+ ,106.1967236
+ ,144.6183573
+ ,88.02178414
+ ,99.60477665
+ ,142.8291145
+ ,116.8380094
+ ,125.0308578
+ ,111.2819398
+ ,115.0487667
+ ,134.2595835
+ ,152.3403523
+ ,107.8917957
+ ,139.3447997
+ ,147.7259894
+ ,89.24600286
+ ,97.43885122
+ ,145.6542347
+ ,144.9008693
+ ,144.4300159
+ ,106.7617476
+ ,130.7752687
+ ,125.0308578
+ ,139.250629
+ ,115.0487667
+ ,121.9232256
+ ,150.7394509
+ ,104.1249688
+ ,96.59131518
+ ,136.8021916
+ ,144.0533333
+ ,133.8829008
+ ,118.3447401
+ ,127.1967832
+ ,127.0084418
+ ,128.3268312
+ ,136.3313383
+ ,124.7483457
+ ,137.1788743
+ ,104.9725049
+ ,92.54197634
+ ,136.4255089
+ ,134.1654128
+ ,97.8155339
+ ,86.42088274
+ ,77.28632767
+ ,86.89173609)
> #'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/1bks11258129323.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/2tu7d1258129323.tab") 
> 
> system("convert tmp/1bks11258129323.ps tmp/1bks11258129323.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.443   0.186   0.490