R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(3,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,8,8,8,8,8,8,8,8,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,11,11,11,11,11,11,11,11,11,12,12,12,12,12,12,12,12,12,13,13,13,13,13,14,14,14,14,14,14,14,14,14,14,14,14,14,14,14,15,15,15,15,15,15,15,15,15,15,15,15,16,16,16,16,17,17,17,18,18,18,18,18,18,18,18,19,19,19,19,20,20,20,20,20,20,20,20,21,21,21,22,22,22,22,22,22,22,23,23,23,24,24,24,25,25,26,26,30,30,30,30,31,31,32,32,33,34,34,34,34,36)
> par2 = '1.5'
> par1 = '0.1'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> PPCC <- function(meanlog, sdlog, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qlnorm(pp, meanlog=meanlog, sdlog=sdlog), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 50) par1 <- 50
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 50) par2 <- 50
> par1h <- par1*10
> par2h <- par2*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h))
> for (i in par1h:par2h)
+ {
+ c[i] <- cor(qlnorm(ppoints(x), meanlog=0,sdlog=i/10),sortx)
+ }
> postscript(file="/var/www/html/rcomp/tmp/1po2q1272477987.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((par1h:par2h)/10,c[par1h:par2h],xlab='sdlog',ylab='correlation',main='PPCC Plot - Lognormal')
> dev.off()
null device 
          1 
> (f<-fitdistr(x, 'lognormal'))
    meanlog       sdlog   
  2.43713205   0.54830259 
 (0.03730727) (0.02638022)
> xlab <- paste('Lognormal(meanlog=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', sdlog=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/www/html/rcomp/tmp/2ig1t1272477987.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqplot(qlnorm(ppoints(x), meanlog=f$estimate[[1]], sdlog=f$estimate[[2]]), x, main='QQ plot (Lognormal)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'meanlog',header=TRUE)
> a<-table.element(a,f$estimate[1])
> a<-table.element(a,f$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'sdlog',header=TRUE)
> a<-table.element(a,f$estimate[2])
> a<-table.element(a,f$sd[2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3lgzz1272477987.tab") 
> 
> try(system("convert tmp/1po2q1272477987.ps tmp/1po2q1272477987.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ig1t1272477987.ps tmp/2ig1t1272477987.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.554   0.317   0.836