R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
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(0.118,0.118,0.122,0.122,0.122,0.122,0.123,0.124,0.124,0.124,0.125,0.125,0.125,0.125,0.126,0.127,0.127,0.127,0.127,0.127,0.127,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.128,0.129,0.129,0.129,0.129,0.129,0.129,0.129,0.129,0.129,0.129,0.129,0.129,0.130,0.130,0.130,0.130,0.130,0.130,0.130,0.130,0.130,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.131,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.132,0.133,0.133,0.133,0.133,0.133,0.133,0.133,0.134,0.134,0.134,0.134,0.134,0.135,0.135,0.135,0.135,0.135,0.135,0.135,0.135,0.135,0.135,0.135,0.136,0.136,0.137)
> par2 = '50'
> par1 = '40'
> par2 <- '50'
> par1 <- '40'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> PPCCWeibull <- function(shape, scale, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qweibull(pp, shape=shape, scale=scale), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 50) par1 <- 50
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 50) par2 <- 50
> par1h <- par1*10
> par2h <- par2*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h))
> for (i in par1h:par2h)
+ {
+ c[i] <- cor(qweibull(ppoints(x), shape=i/10,scale=2),sortx)
+ }
> postscript(file="/var/fisher/rcomp/tmp/10gvj1376610933.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Weibull')
> dev.off()
null device 
          1 
> f<-fitdistr(x, 'weibull')
Warning messages:
1: In densfun(x, parm[1], parm[2], ...) : NaNs produced
2: In densfun(x, parm[1], parm[2], ...) : NaNs produced
3: In densfun(x, parm[1], parm[2], ...) : NaNs produced
4: In densfun(x, parm[1], parm[2], ...) : NaNs produced
5: In densfun(x, parm[1], parm[2], ...) : NaNs produced
> f$estimate
     shape      scale 
42.0479035  0.1315733 
> f$sd
       shape        scale 
3.0358244248 0.0003032735 
> xlab <- paste('Weibull(shape=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', scale=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/fisher/rcomp/tmp/2e1h21376610933.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqplot(qweibull(ppoints(x), shape=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Weibull)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape',header=TRUE)
> a<-table.element(a,f$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/fisher/rcomp/tmp/3ztam1376610933.tab") 
> 
> try(system("convert tmp/10gvj1376610933.ps tmp/10gvj1376610933.png",intern=TRUE))
character(0)
> try(system("convert tmp/2e1h21376610933.ps tmp/2e1h21376610933.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.438   0.329   1.757