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(17,17,18,21,20,28,19,22,16,18,25,17,14,11,27,20,22,22,21,23,17,24,14,17,23,24,24,8,22,23,25,21,24,15,22,21,25,16,28,23,21,21,26,22,21,18,12,25,17,24,15,13,26,16,24,21,20,14,25,25,20,22,20,26,18,22,24,17,24,20,19,20,15,23,26,22,20,24,26,21,25,13,20,22,23,28,22,20,6,21,20,18,23,20,24,22,21,18,21,23,23,15,21,24,23,21,21,20,11,22,27,25,18,20,24,10,27,21,21,18,15,24,22,14,28,18,26,17,19,22,18,24,15,18,26,11,26,21,23,23,15,22,26,16,20,18,22,16,19,20,19,23,24,25,21,21,23,27,23,18,16,16)
> 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    
  20.5617284    4.1706520 
 ( 0.3276774) ( 0.2317029)
> postscript(file="/var/wessaorg/rcomp/tmp/10ed01356085398.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/2428t1356085398.tab") 
> 
> try(system("convert tmp/10ed01356085398.ps tmp/10ed01356085398.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.906   0.178   1.066