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(89.28,89.47,89.53,90.72,90.91,91.38,91.49,90.9,90.93,90.57,91.28,90.83,91.5,91.58,92.49,94.16,95.46,95.8,95.32,95.41,95.35,95.68,95.59,94.96,96.92,96.06,96.59,96.67,97.27,96.38,96.47,96.05,96.76,96.51,96.55,95.97,97,97.46,97.9,98.42,98.54,99,98.94,99.02,100.07,98.72,98.73,98.04,99.08,99.22,99.57,100.44,100.84,100.75,100.49,99.98,99.96,99.76,100.11,99.79,100.29,101.12,102.65,102.71,103.39,102.8,102.07,102.15,101.21,101.27,101.86,101.65,101.94,102.62,102.71,103.39,104.51,104.09,104.29,104.57,105.39,105.15,106.13,105.46,106.47,106.62,106.52,108.04,107.15,107.32,107.76,107.26,107.89)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  98.9147312    4.9681741 
 ( 0.5151757) ( 0.3642842)
> postscript(file="/var/www/html/rcomp/tmp/19qlp1194292530.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2lnrk1194292531.tab") 
> 
> system("convert tmp/19qlp1194292530.ps tmp/19qlp1194292530.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.658   0.163   0.729