R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.989130435,0.919087137,0.925417076,0.925612053,1.066666667,0.851108765,1.030693069,0.989031079,0.913000978,0.792723264,0.978170478,0.987513007,0.909433962,0.883608147,0.82745098,0.8252149,1.023255814,0.815418024,1.026192703,0.914742451,0.807276303,0.739130435,0.98973306,0.972164948,0.853889943,0.856864654,0.775739042,0.789473684,0.931350114,0.73971079,0.885245902,0.842435094,0.818458418,0.72755418,0.923238696,0.922680412,0.883762201,0.818270165,0.771047228,0.825852783,0.924485126,0.755165289,0.874671341,0.815956482,0.799807507,0.712598425,0.832980973,0.910323253,0.869149952,0.779182879,0.750254842,0.75856014,0.920889988,0.743991641,0.816254417,0.769593957,0.784007353,0.683284457,0.850505051,0.900695134,0.868398268)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> PPCCWeibull <- function(shape, scale, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qweibull(pp, shape=shape, scale=scale), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 50) par1 <- 50
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 50) par2 <- 50
> par1h <- par1*10
> par2h <- par2*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h))
> for (i in par1h:par2h)
+ {
+ c[i] <- cor(qweibull(ppoints(x), shape=i/10,scale=2),sortx)
+ }
> postscript(file="/var/www/html/rcomp/tmp/16ne91225138194.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Weibull')
> dev.off()
null device 
          1 
> f<-fitdistr(x, 'weibull')
> f$estimate
     shape      scale 
10.2789199  0.9027462 
> f$sd
     shape      scale 
0.98191487 0.01192285 
> xlab <- paste('Weibull(shape=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', scale=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/www/html/rcomp/tmp/2xpdy1225138194.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqplot(qweibull(ppoints(x), shape=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Weibull)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape',header=TRUE)
> a<-table.element(a,f$estimate[1])
> a<-table.element(a,f$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'scale',header=TRUE)
> a<-table.element(a,f$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/3uofu1225138194.tab") 
> 
> system("convert tmp/16ne91225138194.ps tmp/16ne91225138194.png")
> system("convert tmp/2xpdy1225138194.ps tmp/2xpdy1225138194.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.781   0.306   0.879