R version 2.12.0 (2010-10-15)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(112,118,132,129,121,135,148,148,136,119,104,118,115,126,141,135,125,149,170,170,158,133,114,140,145,150,178,163,172,178,199,199,184,162,146,166,171,180,193,181,183,218,230,242,209,191,172,194,196,196,236,235,229,243,264,272,237,211,180,201,204,188,235,227,234,264,302,293,259,229,203,229,242,233,267,269,270,315,364,347,312,274,237,278,284,277,317,313,318,374,413,405,355,306,271,306,315,301,356,348,355,422,465,467,404,347,305,336,340,318,362,348,363,435,491,505,404,359,310,337,360,342,406,396,420,472,548,559,463,407,362,405,417,391,419,461,472,535,622,606,508,461,390,432)
> par2 = '8'
> par1 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> PPCCGamma <- function(shape, rate, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qgamma(pp, shape=shape, rate=rate), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 50) par1 <- 50
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 50) par2 <- 50
> par1h <- par1*10
> par2h <- par2*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h))
> for (i in par1h:par2h)
+ {
+ c[i] <- cor(qgamma(ppoints(x), shape=i/10,rate=2),sortx)
+ }
> postscript(file="/var/www/rcomp/tmp/15ghx1321382179.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Gamma')
> dev.off()
null device 
          1 
> f<-fitdistr(x, 'gamma')
> f$estimate
     shape       rate 
5.45912753 0.01947611 
> f$sd
      shape        rate 
0.613646297 0.002287069 
> xlab <- paste('Gamma(shape=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', rate=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/www/rcomp/tmp/2ciqa1321382179.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqplot(qgamma(ppoints(x), shape=f$estimate[[1]], rate=f$estimate[[2]]), x, main='QQ plot (Gamma)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape',header=TRUE)
> a<-table.element(a,f$estimate[1])
> a<-table.element(a,f$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'rate',header=TRUE)
> a<-table.element(a,f$estimate[2])
> a<-table.element(a,f$sd[2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/3lm3h1321382179.tab") 
> 
> try(system("convert tmp/15ghx1321382179.ps tmp/15ghx1321382179.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ciqa1321382179.ps tmp/2ciqa1321382179.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.210   0.130   1.315