R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> par7 = '100'
> par6 = '0'
> par5 = 'N'
> par4 = '8'
> par3 = '1'
> par2 = '0'
> par1 = '10'
> library(MASS)
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> par2 <- round(par2,2) #rounded (we want to be able to display 10 columns)
> par3 <- as.numeric(par3)
> par3 <- round(par3,2) #rounded (we want to be able to display 10 columns)
> par4 <- as.numeric(par4)
> if (par6 == '0') par6 = 'Sturges' else par6 <- as.numeric(par6)
> par7 <- as.numeric(par7)
> x <- array(NA,dim=c(par7,par1))
> rest.mean <- array(NA,dim=c(par7))
> rest.sd <- array(NA,dim=c(par7))
> rsd.mean <- array(NA,dim=c(par7))
> rsd.sd <- array(NA,dim=c(par7))
> for (i in 1:par7)
+ {
+ x[i,] <- rlnorm(par1,par2,par3)
+ x[i,] <- as.ts(x[i,]) #otherwise the fitdistr function does not work properly
+ dum <- fitdistr(x[i,],'log-normal')
+ rest.mean[i] <- dum$estimate[1]
+ rest.sd[i] <- dum$estimate[2]
+ rsd.mean[i] <- dum$sd[1]
+ rsd.sd[i] <- dum$sd[2]
+ }
> nc <- par7
> if (nc > 10) nc = 10
> if (par5 == 'Y')
+ {
+ 
+ #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,'Index',1,TRUE)
+ for (j in 1:nc)
+ {
+ a<-table.element(a,paste('X',j),1,TRUE)
+ }
+ a<-table.row.end(a)
+ if (nc < par7)
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,'Note: only the first 10 series are displayed',nc+1,TRUE)
+ a<-table.row.end(a)
+ }
+ for (i in 1:par1)
+ {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ for (j in 1:nc)
+ {
+ a<-table.element(a,round(x[j,i],2))
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/1uqoy1318977660.tab") 
+ }
> 
> #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)
> for (j in 1:nc)
+ {
+ a<-table.element(a,paste('X',j,sep=''),1,TRUE)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',1,TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,'(SD)',1,TRUE)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# simulated values',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,par1)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'true mean',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,par2)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'true standard deviation',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,par3)
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,round(rest.mean[j],2))
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,round(rsd.mean[j],2))
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'standard deviation',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,round(rest.sd[j],2))
+ }
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,' ',header=TRUE)
> for (j in 1:nc)
+ {
+ a<-table.element(a,round(rsd.sd[j],2))
+ }
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/217kc1318977661.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/39l4y1318977661.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x[1,],col=par4,breaks=par6,main='Histogram of 1st simulated series',ylab='density',xlab='simulated values',freq=F)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/469g31318977661.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(rest.mean[],col=par4,breaks=par6,main='Histogram of Estimated Means',ylab='density',xlab='estimated means',freq=F)
> x <- rest.mean[]
> dummean <- mean(x)
> dumsd <- sd(x)
> curve(1/(dumsd*sqrt(2*pi))*exp(-1/2*((x-dummean)/dumsd)^2),min(x),max(x),add=T)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/5ucoa1318977661.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(rest.sd[],col=par4,breaks=par6,main='Histogram of Estimated SDs',ylab='density',xlab='estimated standard deviations',freq=F)
> x <- rest.sd[]
> dummean <- mean(x)
> dumsd <- sd(x)
> curve(1/(dumsd*sqrt(2*pi))*exp(-1/2*((x-dummean)/dumsd)^2),min(x),max(x),add=T)
> dev.off()
null device 
          1 
> 
> try(system("convert tmp/39l4y1318977661.ps tmp/39l4y1318977661.png",intern=TRUE))
character(0)
> try(system("convert tmp/469g31318977661.ps tmp/469g31318977661.png",intern=TRUE))
character(0)
> try(system("convert tmp/5ucoa1318977661.ps tmp/5ucoa1318977661.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.971   0.168   1.162