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(12710.3,12120.8,12469.5,12054.6,12112.9,9617.2,12645.8,13581.3,12162.3,10969.7,11880.0,11887.6,12926.9,12300.0,12092.8,12380.8,12196.9,9455.0,13168.0,13427.9,11980.5,11884.8,11691.7,12233.8,14341.4,13130.7,12421.1,14285.8,12864.6,11160.2,14316.2,14388.7,14013.9,13419.0,12769.6,13315.5,15332.9,14243.0,13824.4,14962.9,13202.9,12199.0,15508.9,14199.8,15169.6,14058.0,13786.2,14147.9,16541.7,13587.5,15582.4,15802.8,14130.5,12923.2,15612.2,16033.7,16036.6,14037.8,15330.6,15038.3,17401.8)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  13427.4164    1591.5412 
 (  203.7760) (  144.0914)
> postscript(file="/var/www/html/rcomp/tmp/1z04d1194257405.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2hukv1194257406.tab") 
> 
> system("convert tmp/1z04d1194257405.ps tmp/1z04d1194257405.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.703   0.174   0.880