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(-0.361846007532772
+ ,3.68863098861213
+ ,0.682519663180303
+ ,7.63067731671178
+ ,-1.52075037210644
+ ,5.70955581144987
+ ,13.1939928862509
+ ,-5.49940323517293
+ ,1.76500444649349
+ ,1.96677142422135
+ ,-5.60662922820024
+ ,-7.31646013152379
+ ,-1.08563548801227
+ ,-0.099103421317697
+ ,-9.39514313732207
+ ,-6.39447775845358
+ ,-2.02805473224696
+ ,0.903602088633067
+ ,7.57491469457003
+ ,-2.19407311445752
+ ,3.58898833702079
+ ,-1.68951274457543
+ ,-1.53671157669086
+ ,13.3598886375142
+ ,-3.65726657887787
+ ,0.613493186862468
+ ,9.24506908223031
+ ,11.0285738876639
+ ,-3.49893748343257
+ ,-6.55850163797107
+ ,5.54750744110568
+ ,16.5005808635365
+ ,-0.0867999869147866
+ ,-10.1895526735612
+ ,-1.56002146200367
+ ,3.61791774409454
+ ,-3.46228026897451
+ ,-0.839719033549138
+ ,-1.74844063591575
+ ,-5.59275453302008
+ ,-4.31083509741400
+ ,8.28778989827125
+ ,-14.0676602788114
+ ,-4.07578881412959
+ ,3.95794121224257
+ ,-2.54404876219145
+ ,24.3555160491049
+ ,11.7342693021934
+ ,3.81944484749606
+ ,-2.98176766619709
+ ,7.45551605729516
+ ,-6.39245158356992
+ ,11.7003155629076
+ ,2.36027611470617
+ ,-7.48442696186156
+ ,-2.54111530629837
+ ,-2.30507409276129
+ ,10.8550201878513
+ ,-2.11331989623902
+ ,3.4086895867965
+ ,11.2003605872847
+ ,-1.20537867882487
+ ,5.81786820725412
+ ,-2.61150202837964
+ ,-1.54008349441135
+ ,-5.42145151519334
+ ,11.6034074049369
+ ,-9.06789177079852)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
     mean         sd    
  1.0674887   7.0719205 
 (0.8575963) (0.6064122)
> postscript(file="/var/www/html/rcomp/tmp/16j0z1197998559.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2ynr21197998559.tab") 
> 
> system("convert tmp/16j0z1197998559.ps tmp/16j0z1197998559.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.639   0.162   0.696