R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(46.426,46.855,153.135,64,31,2.25,2.25,2.3,22.6,1.5,10.65,34,81.75,106.5,0.525,24.025,5.25,9,12.8,25.05,0.3,75.75,54.75,1.526,30.993,3.752,17.25,9.2,50.25,2.25,3.95,60,55.8,6.75,61.95,7.025,85.75,18.525,6,25.35,46.775,51.025,30,3,30,44,80.75,27.5,39.725,29.25,32.725,56.25,28.65,51.75,32.26,72,65.4,33.75,77.85,10.875)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
Warning message:
package 'MASS' was built under R version 2.8.1 and help may not work correctly 
> PPCCWeibull <- function(shape, scale, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qweibull(pp, shape=shape, scale=scale), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 50) par1 <- 50
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 50) par2 <- 50
> par1h <- par1*10
> par2h <- par2*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h))
> for (i in par1h:par2h)
+ {
+ c[i] <- cor(qweibull(ppoints(x), shape=i/10,scale=2),sortx)
+ }
> postscript(file="/var/www/rcomp/tmp/1zlao1271581227.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot((par1h:par2h)/10,c[par1h:par2h],xlab='shape',ylab='correlation',main='PPCC Plot - Weibull')
> dev.off()
null device 
          1 
> f<-fitdistr(x, 'weibull')
Warning message:
In dweibull(x, shape, scale, log) : NaNs produced
> f$estimate
    shape     scale 
 1.005607 35.132990 
> f$sd
    shape     scale 
0.1069185 4.7291580 
> xlab <- paste('Weibull(shape=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', scale=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/www/rcomp/tmp/2zlao1271581227.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqplot(qweibull(ppoints(x), shape=f$estimate[[1]], scale=f$estimate[[2]]), x, main='QQ plot (Weibull)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape',header=TRUE)
> a<-table.element(a,f$estimate[1])
> a<-table.element(a,f$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'scale',header=TRUE)
> a<-table.element(a,f$estimate[2])
> a<-table.element(a,f$sd[2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/3k48u1271581227.tab") 
> 
> try(system("convert tmp/1zlao1271581227.ps tmp/1zlao1271581227.png",intern=TRUE))
character(0)
> try(system("convert tmp/2zlao1271581227.ps tmp/2zlao1271581227.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
   0.70    0.54    1.11