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(67.79,-26.91,30.99,-18.77,-26.06,39.62,36.86,-9.1,-11.24,-21.38,44.59,-11.39,21.85,-26.16,-4.99,-4.91,-1.79,-26.83,33.37,-7.89,-15.86,-7.42,-8.49,-7.75,-16.48,-6.26,-10.3,-20.38,-17.24,7.36,-14.48,-10.77,24.81,6.58,-13.52,-4.11,22.47,-3.27,-6.94,-10.17,-27.59,31.9,-12.17,-4.74,-21.27,-24.86,-12.32,9.1,-21.64,5.92,-11.46,-5.34,21.99,-11.65,-20.51,-2.17,3.76,36.9,-14.69,-17.61,17.9,-18.37,2.16,-3.95,10.15,42.98,-19.15,-20.55,-1.35,-26.35,27.92,2.7,-9.1,4.35,-23.74,-15.46,-9.79,5.27,20.22,41.01,11.28,28.8,39.47,-35.44,-11.13,7.11,22.63,8.48,-8.98,18.36,-2.96,18.63,23.67,-10.28,-20.36,36.48,-10.37,-28.24,2.67,29.94,-17.95,-23.51,56.06,21.3,-13.57,18.83,-6.87,-31.51,29.43,-22.31,12.73,-7.81,11.48,-7.23,-19.33,-5,-8.33)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
       mean             sd      
  -1.582009e-17    2.114297e+01 
 ( 1.954668e+00) ( 1.382159e+00)
> postscript(file="/var/www/html/rcomp/tmp/1pd6u1200433545.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2m6331200433545.tab") 
> 
> system("convert tmp/1pd6u1200433545.ps tmp/1pd6u1200433545.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.633   0.156   0.727