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(16,16,18,17,17,26,13,21,13,15,19,17,14,11,26,18,19,22,15,21,13,22,10,15,19,23,23,7,18,21,22,19,22,14,17,18,19,14,27,20,20,17,22,20,18,14,11,20,17,20,14,14,23,14,21,18,18,12,20,23,14,20,20,20,18,16,24,15,22,17,19,19,13,22,25,21,19,21,24,19,22,13,18,19,21,26,21,18,9,18,17,17,19,18,21,20,17,17,18,23,20,11,21,23,20,19,18,18,11,20,22,22,16,18,23,10,22,18,16,15,15,22,17,15,22,17,26,15,17,19,17,24,11,17,23,11,21,18,22,22,13,20,21,16,18,15,19,15,18,20,16,19,22,20,19,19,22,24,19,16,14)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  18.3354037    3.7515117 
 ( 0.2956605) ( 0.2090636)
> postscript(file="/var/www/html/rcomp/tmp/1lrmd1287478008.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2oaki1287478008.tab") 
> try(system("convert tmp/1lrmd1287478008.ps tmp/1lrmd1287478008.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.402   0.156   0.832