R version 2.8.1 (2008-12-22) Copyright (C) 2008 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(449,452,462,455,461,461,463,462,456,455,456,472,472,471,465,459,465,468,467,463,460,462,461,476,476,471,453,443,442,444,438,427,424,416,406,431,434,418,412,404,409,412,406,398,397,385,390,413,413,401,397,397,409,419,424,428,430,424,433,456,459) > #'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/rcomp/tmp/1yhcv1257765868.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/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/2y5po1257765868.tab") > > system("convert tmp/1yhcv1257765868.ps tmp/1yhcv1257765868.png") > > > proc.time() user system elapsed 0.490 0.370 0.752