R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(94.70,90.20,104.30,96.00,96.60,103.50,79.90,88.50,103.30,113.50,100.80,95.30,92.60,89.00,98.70,94.50,96.90,98.10,82.10,86.50,104.10,110.90,114.50,112.20,96.40,92.00,102.00,99.70,102.00,98.90,87.40,94.40,109.30,116.40,101.00,105.50,97.80,95.50,113.70,103.70,100.80,113.80,84.60,95.30,110.00,107.50,107.60,116.00,96.90,97.00,108.10,101.90,107.20,110.20,78.70,96.50,115.20,104.70,109.10,108.40,95.50,97.80,115.10,96.20,112.00,111.80,82.50,100.80,116.00,116.30,116.60,112.90,100.90,104.10,117.40,103.30,111.60,115.20,92.60,106.90)
> 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: Wessa P., (2007), Maximum-likelihood Normal Distribution Fitting (v1.0.2) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean           sd     
  101.9675000     9.6110454 
 (  1.0745475) (  0.7598199)
> postscript(file="/var/www/html/rcomp/tmp/1p26e1194301726.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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 
> 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/2gxkh1194301726.tab") 
> 
> system("convert tmp/1p26e1194301726.ps tmp/1p26e1194301726.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.668   0.182   0.863