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(21,16,19,18,16,23,17,12,19,16,19,20,13,20,27,17,8,25,26,13,19,15,5,16,14,24,24,9,19,19,25,19,18,15,12,21,12,15,28,25,19,20,24,26,25,12,12,15,17,14,16,11,20,11,22,20,19,17,21,23,18,17,27,25,19,22,24,20,19,11,22,22,16,20,24,16,16,22,24,16,27,11,21,20,20,27,20,12,8,21,18,24,16,18,20,20,19,17,16,26,15,22,17,23,21,19,14,17,12,24,18,20,16,20,22,12,16,17,22,12,14,23,15,17,28,20,23,13,18,23,19,23,12,16,23,13,22,18,23,20,10,17,18,15,23,17,17,22,20,20,19,18,22,20,22,18,16,16,16,16,17,18)
> 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    
  18.5370370    4.4251510 
 ( 0.3476727) ( 0.2458417)
> postscript(file="/var/wessaorg/rcomp/tmp/11un01355658260.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$estimate[2])^2),min(x),max(x),add=T)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,r$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/wessaorg/rcomp/tmp/2v90u1355658260.tab") 
> 
> try(system("convert tmp/11un01355658260.ps tmp/11un01355658260.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.872   0.190   1.039