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(107.97,108.13,108.54,109.86,109.75,109.99,112.01,111.96,111.41,112.11,111.67,111.95,112.31,113.26,113.5,114.43,115.02,115.1,117.11,117.52,116.1,116.39,116.01,116.74,116.68,117.45,117.8,119.37,118.9,119.05,120.46,120.99,119.86,120.18,119.81,120.15,119.8,120.27,120.71,121.87,121.87,121.92,123.72,124.38,123.21,123.17,122.95,123.46,123.24,123.86,124.28,124.78,125.19,125.46,127.6,127.8,126.63,127.06,126.77,127.05)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean           sd     
  118.6098333     5.5475275 
 (  0.7161827) (  0.5064177)
> postscript(file="/var/www/html/rcomp/tmp/1243f1194260966.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2goi91194260967.tab") 
> 
> system("convert tmp/1243f1194260966.ps tmp/1243f1194260966.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.183   0.258   1.234