R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(1.74138367229942
+ ,-2.88580372001652
+ ,-3.00801521083293
+ ,5.35873352650856
+ ,-0.350197418097050
+ ,-4.44477983570422
+ ,-14.1704246279256
+ ,5.06291770302617
+ ,8.16317098727172
+ ,-6.63032011800066
+ ,-0.955084752066612
+ ,4.76580237731785
+ ,4.64634662056524
+ ,-3.37632197945722
+ ,-3.48596660066835
+ ,0.00318885841739619
+ ,-2.30873579009489
+ ,4.510676743397
+ ,3.86380235714235
+ ,-4.84743390386536
+ ,1.19326683102373
+ ,9.49359417425812
+ ,-5.7256091522179
+ ,-6.7409221436693
+ ,-8.37465970382766
+ ,2.41947579953488
+ ,2.51107146040831
+ ,2.31318281556092
+ ,-3.02118693681124
+ ,3.49111382410466
+ ,-5.27208657466297
+ ,-1.65652539783093
+ ,1.158900365591
+ ,3.29699796504326
+ ,5.45943755223924
+ ,-3.39089745529757
+ ,-3.24888068501405
+ ,-3.76725354399628
+ ,-1.01610429731824
+ ,-0.141686930225946
+ ,-2.40143497370904
+ ,3.01483128334767
+ ,-2.37153731174333
+ ,1.90350531137286
+ ,-3.75249259201867
+ ,-1.15949421149824
+ ,1.41625767699710
+ ,0.756276066572336
+ ,1.74232125798030
+ ,-2.82713799160403
+ ,2.91169906841461
+ ,-7.53666538846806
+ ,8.89398251304836
+ ,-1.48741996092416
+ ,3.26139630257603
+ ,-3.15021888842772
+ ,3.8905793816289
+ ,7.41906373843078
+ ,7.78286136215999
+ ,-3.77518512848798
+ ,0.0882557144562938
+ ,1.75385231671455
+ ,1.56061031268522
+ ,-1.4983198165646
+ ,4.36211820238709
+ ,2.31013654316626
+ ,-2.33448411305145
+ ,-1.40752353154939)
> #'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/15kyq1198008662.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 
> 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/2jndt1198008663.tab") 
> 
> system("convert tmp/15kyq1198008662.ps tmp/15kyq1198008662.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.229   0.303   1.287