R version 2.6.0 (2007-10-03) Copyright (C) 2007 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. 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(0.09,0.65,-1.53,-3.36,10.51,-1.02,-2.68,-9.75,3.64,9.5,-0.33,-0.99,3.16,4.27,-2.97,-7.49,0.33,-2.57,4.07,5.31,-8.09,5.29,7.38,-6.12,-3.38,-8.61,2.58,10.02,7.08,-2.75,3.42,-1.6,0.65,2.86,-3.52,5.65,4.31,-4.39,-5.85,-5.47,-2.3,-0.14,8.08,-7.43,0.02,-2.47,-2.11,7.87,4.66,3.6,-3.64,7.26,-7.62,13.83,1.28,-0.32,-2.9,4.92,11.99,10.06,-2.22,3.97,0.56,3.34,-2.86,4.38,1.43,-0.49,-1.23) > #'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/14zaw1198006871.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/2fl1l1198006871.tab") > > system("convert tmp/14zaw1198006871.ps tmp/14zaw1198006871.png") > > > proc.time() user system elapsed 0.690 0.183 0.737