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(7.4,7.2,7,6.6,6.4,6.4,6.8,7.3,7,7,6.7,6.7,6.3,6.2,6,6.3,6.2,6.1,6.2,6.6,6.6,7.8,7.4,7.4,7.5,7.4,7.4,7,6.9,6.9,7.6,7.7,7.6,8.2,8,8.1,8.3,8.2,8.1,7.7,7.6,7.7,8.2,8.4,8.4,8.6,8.4,8.5,8.7,8.7,8.6,7.4,7.3,7.4,9,9.2,9.2,8.5,8.3,8.3,8.6,8.6,8.5,8.1,8.1,8,8.6,8.7,8.7,8.6,8.4,8.4,8.7,8.7,8.5,8.3,8.3,8.3,8.1,8.2,8.1,8.1,7.9,7.7,8.1,8,7.7,7.8,7.6,7.4,7.7,7.9,7.6) > #'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/1wa9b1194262066.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/2hzue1194262067.tab") > > system("convert tmp/1wa9b1194262066.ps tmp/1wa9b1194262066.png") > > > proc.time() user system elapsed 0.687 0.196 0.758