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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> x <- c(39,43,31,62,25,16,68,14,31,22,56,64,36,35,48,95,36,85,33,43,41,49,15,30,71,78,67,47,29,29,49,41,58,18,46,34,75,41,24,93,46,36,39,24,40,83,40,44,58,33,47,23,173,15,54,24,51,86,64,42,76,65,53,47,31,28,72,83,43,25,28,24,35,33,30,40,51,48,33,33,26,56,44,43,25,32,32,92,44,64,40,43,39,47,44,23,25,43,79,65,56,33,94,14,42,85,26,58,28,59,31,49,9,46,23,30,47,16,31,18,64,29,39,25,34,24,39,33,42,57,61,21,24,160,91,12,73,37,25,41,61,66,47,63,60,34,40,60,0,10,1,2,0,0,48,57,0,4,5,20,5,27,2,28)
> par2 = '0'
> par1 = '8'
> ylab = 'density'
> xlab = 'value of data series'
> main = 'Histogram and Fitted Normal Density'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
     mean         sd    
  42.615854   25.398867 
 ( 1.983318) ( 1.402418)
> postscript(file="/var/wessaorg/rcomp/tmp/1cwxd1321279135.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2wrhy1321279135.tab") 
> 
> try(system("convert tmp/1cwxd1321279135.ps tmp/1cwxd1321279135.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.483   0.084   0.564