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(98.50,96.70,113.10,100.00,104.70,108.50,90.50,88.60,105.40,119.90,107.20,84.10,101.40,105.10,118.70,113.80,113.80,118.90,98.50,91.00,120.70,127.90,112.40,93.10,107.50,107.30,114.80,120.80,112.20,123.30,100.60,86.70,123.60,125.30,111.10,98.40,102.30,105.00,128.20,124.70,116.10,131.20,97.70,88.80,132.80,113.90,112.60,104.30,107.50,106.00,117.30,123.10,114.30,132.00,92.30,93.70,121.30,113.60,116.30,98.30,111.90,109.30,133.20,118.00,131.60,134.10,96.70,99.80,128.30,134.90,130.70,107.30,121.60,120.60,140.50,124.80,129.90,145.60,109.70,105.30)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  112.390000    13.691545 
 (  1.530761) (  1.082412)
> postscript(file="/var/www/html/rcomp/tmp/1sq371194301681.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2fkts1194301682.tab") 
> 
> system("convert tmp/1sq371194301681.ps tmp/1sq371194301681.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.664   0.167   0.746