R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(4,4,6,8,8,4,4,8,5,4,4,4,4,4,4,8,4,4,4,8,4,7,4,4,5,4,4,4,4,4,4,4,15,10,4,8,4,4,4,4,7,4,6,5,4,16,5,12,6,9,9,4,5,4,4,5,4,4,4,5,4,6,4,4,18,4,6,4,4,5,4,4,5,10,5,8,8,5,4,4,4,5,4,4,8,4,5,14,8,8,4,4,6,4,7,7,4,6,4,7,4,4,8,4,4,10,8,6,4,4,4,5,4,6,4,5,7,8,5,8,10,8,5,12,4,5,4,6,4,4,7,7,10,4,5,8,11,7,4,8,6,7,5,4,8,4,8,6,4,9,5,6,4,4,4,5,6,16,6,6,4,4)
> par20 = ''
> par19 = ''
> par18 = ''
> par17 = ''
> par16 = ''
> par15 = ''
> par14 = ''
> par13 = ''
> par12 = ''
> par11 = ''
> par10 = ''
> par9 = ''
> par8 = ''
> par7 = ''
> par6 = ''
> par5 = ''
> par4 = ''
> par3 = ''
> par2 = '0'
> par1 = '8'
> ylab = 'density'
> xlab = 'value of data series'
> main = 'Histogram and Fitted Normal Density'
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
     mean         sd    
  5.7962963   2.6179317 
 (0.2056841) (0.1454407)
> postscript(file="/var/fisher/rcomp/tmp/1knfb1355763188.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,r$estimate[1])
> a<-table.element(a,r$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'standard deviation',header=TRUE)
> a<-table.element(a,r$estimate[2])
> a<-table.element(a,r$sd[2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/2u0gs1355763188.tab") 
> 
> try(system("convert tmp/1knfb1355763188.ps tmp/1knfb1355763188.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.962   0.248   1.188