R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(0.196,0.198,0.202,0.209,0.206,0.208,0.212,0.207,0.208,0.209,0.206,0.206,0.209,0.209,0.206,0.206,0.209,0.205,0.201,0.209,0.199,0.204,0.210,0.210,0.206,0.215,0.216,0.206,0.206,0.213,0.207,0.207,0.207,0.216,0.216,0.214,0.211,0.206,0.208,0.216,0.214,0.206,0.209,0.207,0.208,0.207,0.213,0.212,0.201,0.217,0.219,0.212)
> par2 = '60'
> par1 = '40'
> par2 <- '60'
> par1 <- '40'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Maximum-likelihood Weibull Distribution Fitting (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrweibull.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> library(MASS)
> PPCCWeibull <- function(shape, scale, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qweibull(pp, shape=shape, scale=scale), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 50) par1 <- 50
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 50) par2 <- 50
> par1h <- par1*10
> par2h <- par2*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h))
> for (i in par1h:par2h)
+ {
+ c[i] <- cor(qweibull(ppoints(x), shape=i/10,scale=2),sortx)
+ }
> postscript(file="/var/wessaorg/rcomp/tmp/14wge1429726518.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Weibull')
> dev.off()
null device 
          1 
> f<-fitdistr(x, 'weibull')
> f$estimate
    shape     scale 
45.886950  0.210808 
> f$sd
      shape       scale 
4.723691631 0.000674395 
> xlab <- paste('Weibull(shape=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', scale=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/wessaorg/rcomp/tmp/2ohbw1429726518.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqplot(qweibull(ppoints(x), shape=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Weibull)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape',header=TRUE)
> a<-table.element(a,f$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/wessaorg/rcomp/tmp/3v9tl1429726518.tab") 
> 
> try(system("convert tmp/14wge1429726518.ps tmp/14wge1429726518.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ohbw1429726518.ps tmp/2ohbw1429726518.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.916   0.168   1.083