R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i686-pc-linux-gnu (32-bit) 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(23,24,22,24,27,27,24,23,27,28,27,24,25,24,20,26,23,23,20,24,23,18,23,26,26,23,22,20,25,22,23,25,23,22,24,25,17,20,23,20,24,24,28,25,25,18,17,22,25,26,19,25,21,13,25,26,25,25,21,24,21,25,20,23,28,23,28,24,18,20,28,21,25,18,21,22,24,15,28,23,26,20,22,26,23,21,26,23,27,19,22,25,25,25,19,25,22,20) > par20 = '' > par19 = '' > par18 = '' > par17 = '' > par16 = '' > par15 = '' > par14 = '' > par13 = '' > par12 = '' > par11 = '' > par10 = '' > par9 = '' > par8 = '' > par7 = '' > par6 = '' > par5 = '' > par4 = '' > par3 = '' > par2 = '' > par1 = '' > 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/1oas41355868837.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/2fxzx1355868837.tab") > > try(system("convert tmp/1oas41355868837.ps tmp/1oas41355868837.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.102 0.186 1.279