R version 2.12.1 (2010-12-16)
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(0.224565646
+ ,0.261571480
+ ,0.253029834
+ ,0.033938060
+ ,0.353208554
+ ,0.033295045
+ ,0.002171707
+ ,0.084136132
+ ,0.077468368
+ ,0.010160325
+ ,0.079746191
+ ,0.263485597
+ ,0.460389066
+ ,0.132348066
+ ,0.529154319
+ ,0.032287005
+ ,0.472190992
+ ,0.037985170
+ ,0.019795866
+ ,0.053763887
+ ,0.086771175
+ ,0.143764004
+ ,0.202780264
+ ,0.006932185
+ ,0.124637036
+ ,0.116166293
+ ,0.037363442
+ ,0.416532177
+ ,0.612491026
+ ,0.012781084
+ ,0.163992436
+ ,0.212717925
+ ,0.092409609
+ ,0.150134816
+ ,0.047430792
+ ,0.022017328
+ ,0.350262865
+ ,0.013821921
+ ,0.578796918
+ ,0.030264300
+ ,0.090627282
+ ,0.029354226
+ ,0.182663201
+ ,0.372085552
+ ,0.235142217
+ ,0.311617946
+ ,0.030548270
+ ,0.068424450
+ ,0.043757662
+ ,0.238109173
+ ,0.465951209
+ ,0.127494709
+ ,0.010810575
+ ,0.230141979
+ ,0.426687450
+ ,0.175605499
+ ,0.005595384
+ ,0.203565169
+ ,0.236888269
+ ,0.153586896
+ ,0.027445414
+ ,0.026240968
+ ,0.299075759
+ ,0.171469487
+ ,0.016355307
+ ,0.220064442
+ ,0.137054994
+ ,0.034683689
+ ,0.085767702
+ ,0.119746590
+ ,0.223347602
+ ,0.026601623
+ ,0.063485064
+ ,0.467803972
+ ,0.012650088
+ ,0.048496183
+ ,0.047170846
+ ,0.043196485
+ ,0.095073370
+ ,0.538513979
+ ,0.045034181
+ ,0.427235474
+ ,0.289835816
+ ,0.150884924
+ ,0.176887675
+ ,0.369202741
+ ,0.178461483
+ ,0.077501113
+ ,0.281105892
+ ,0.051375864
+ ,0.357311398
+ ,0.561861189
+ ,0.028342902
+ ,0.326209843
+ ,0.303994601
+ ,0.020530542
+ ,0.278139180
+ ,0.582716856
+ ,0.071720238
+ ,0.237546024)
> par4 = '6'
> par3 = '2'
> par2 = '3'
> par1 = '0.1'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> library(MASS)
> PPCCBeta <- function(shape1, shape2, x)
+ {
+ x <- sort(x)
+ pp <- ppoints(x)
+ cor(qbeta(pp, shape1=shape1, shape2=shape2), x)
+ }
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> if (par1 < 0.1) par1 <- 0.1
> if (par1 > 10) par1 <- 10
> if (par2 < 0.1) par2 <- 0.1
> if (par2 > 10) par2 <- 10
> if (par3 < 0.1) par3 <- 0.1
> if (par3 > 10) par3 <- 10
> if (par4 < 0.1) par4 <- 0.1
> if (par4 > 10) par4 <- 10
> par1h <- par1*10
> par2h <- par2*10
> par3h <- par3*10
> par4h <- par4*10
> sortx <- sort(x)
> c <- array(NA,dim=c(par2h,par4h))
> for (i in par1h:par2h)
+ {
+ for (j in par3h:par4h)
+ {
+ c[i,j] <- cor(qbeta(ppoints(x), shape1=i/10,shape2=j/10),sortx)
+ }
+ }
> postscript(file="/var/www/rcomp/tmp/1xifb1307089643.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> filled.contour((par1h:par2h)/10,(par3h:par4h)/10,c[par1h:par2h,par3h:par4h],xlab='shape1',ylab='shape2',main='PPCC Contour Plot - Beta')
> dev.off()
null device 
          1 
> xbar <- mean(x)
> xvar <- var(x)
> (a <- (xbar*(1-xbar)/xvar - 1)*xbar)
[1] 0.823442
> (b <- (1-xbar)*a/xbar)
[1] 3.752365
> (f<-fitdistr(x, 'beta',list(shape1=a,shape2=b)))
    shape1      shape2  
  0.8831678   4.0315009 
 (0.1091238) (0.6117423)
> xlab <- paste('Beta(shape1=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', shape2=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> postscript(file="/var/www/rcomp/tmp/2q8q41307089643.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myser <- qbeta(ppoints(x), shape1=f$estimate[[1]], shape2=f$estimate[[2]])
> qqplot(myser, x, main='QQ plot (Beta)', xlab=xlab )
> grid()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape1',header=TRUE)
> a<-table.element(a,f$estimate[1])
> a<-table.element(a,f$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'shape2',header=TRUE)
> a<-table.element(a,f$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/3r4ag1307089643.tab") 
> 
> try(system("convert tmp/1xifb1307089643.ps tmp/1xifb1307089643.png",intern=TRUE))
character(0)
> try(system("convert tmp/2q8q41307089643.ps tmp/2q8q41307089643.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.056   0.156   3.191