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(100.70,97.90,96.50,96.60,96.60,95.50,91.80,89.30,87.00,85.90,88.00,87.90,89.20,90.90,91.60,90.20,89.10,87.50,86.30,86.00,84.40,86.10,91.00,92.70,88.00,84.30,82.20,80.80,79.40,80.20,82.20,82.20,81.20,82.10,88.10,88.50,92.10,98.60,100.90,100.60,101.10,102.10,103.60,102.80,108.30,104.00,106.10,106.30,109.00,111.00,113.70,112.70,110.30,114.50,119.30,121.80,125.40,129.70,129.40,134.50,141.20,141.40,152.20,167.70,173.30,168.70,172.60,169.80,172.00,179.40,174.60,172.50,172.60,176.30,178.90,179.60,179.90,180.30,180.90,177.70)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  115.591250    34.352271 
 (  3.840701) (  2.715786)
> postscript(file="/var/www/html/rcomp/tmp/1xtdq1194281215.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2s9yv1194281216.tab") 
> 
> system("convert tmp/1xtdq1194281215.ps tmp/1xtdq1194281215.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.183   0.239   1.260