R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(16.4,17.8,22.3,22.8,18.3,22.4,23.9,21.3,23.0,21.4,21.2,20.9,17.9,20.7,22.2,19.8,17.7,19.6,20.8,19.8,18.6,21.,18.6,18.9,17.3,20.0,19.9,19.5,16.2,17.6,19.8,19.4,17.2,21.1,17.8,17.5,18.0,19.1,17.7,19.2,15.1,16.3,18.6,17.2,17.8,19.1,16.6,16.0,16.7,17.4,17.9,17.8,13.9,15.9,17.9,15.4,16.4,17.9,15.3,14.6,14.9,15.0,16.7,16.3,11.7,15.1,15.5,15.0,15.4,16.0,14.7,14.8)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  18.0486111    2.4676796 
 ( 0.2908188) ( 0.2056400)
> postscript(file="/var/www/html/rcomp/tmp/18ci91258128344.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/2x8is1258128344.tab") 
> 
> system("convert tmp/18ci91258128344.ps tmp/18ci91258128344.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.413   0.176   0.514