R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(113.5,121.2,130.4,115.2,117.9,110.7,107.6,124.3,115.1,112.5,127.9,117.4,119.3,130.4,126,125.4,130.5,115.9,108.7,124,119.4,118.6,131.3,111.1,124.8,132.3,126.7,131.7,130.9,122.1,113.2,133.6,119.2,129.4,131.4,117.1,130.5,132.3,140.8,137.5,128.6,126.7,120.8,139.3,128.6,131.3,136.3,128.8,133.2,136.3,151.1,145,134.4,135.7,128.7,129.2,138.6,132.7,132.5,135.2)
> par2 = '0'
> par1 = '8'
> ylab = 'density'
> xlab = 'value of data series'
> main = 'Voeding en drank'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean           sd     
  126.6800000     9.2013187 
 (  1.1878851) (  0.8399616)
> postscript(file="/var/www/html/rcomp/tmp/1v8m11226422533.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/250sl1226422534.tab") 
> 
> system("convert tmp/1v8m11226422533.ps tmp/1v8m11226422533.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.610   0.176   0.697