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(2.61072861587664
+ ,-1.64151512748939
+ ,-5.53397130675664
+ ,-11.8684507675144
+ ,4.92307208512571
+ ,6.26712823161773
+ ,-2.76872599233773
+ ,-3.56312607919330
+ ,3.84610531691476
+ ,3.92414528449639
+ ,-2.60085355983359
+ ,-4.52415672464345
+ ,0.712363410392165
+ ,-3.83027221556495
+ ,1.64369314986718
+ ,5.1373157082981
+ ,-4.77891279135298
+ ,-0.543348509239105
+ ,10.7317442356705
+ ,-7.66239213978311
+ ,-6.30680235597392
+ ,-7.34729981849825
+ ,0.617800822224108
+ ,2.85035364935883
+ ,1.77740032934145
+ ,-3.90118201853709
+ ,4.6323076169406
+ ,-1.74030963922678
+ ,-3.27944132766354
+ ,1.09665938498306
+ ,7.05463838922537
+ ,2.50775091630909
+ ,-4.16477564673257
+ ,-3.97156359496111
+ ,-4.61876313016936
+ ,-1.80864980481552
+ ,-0.236907168104795
+ ,-3.15041173459177
+ ,3.37110805438328
+ ,-2.30793345402054
+ ,2.737897737493
+ ,-1.58208769004317
+ ,-2.47767476900079
+ ,0.167763916859109
+ ,1.76974633325578
+ ,0.440544884754961
+ ,-2.45008188331654
+ ,4.47063460393658
+ ,-6.94943202424074
+ ,8.91682112964061
+ ,-0.296516314946182
+ ,2.40580572796091
+ ,-1.75212202583747
+ ,5.39306701500983
+ ,6.30609401440519
+ ,7.82784320522538
+ ,-2.60554495964265
+ ,1.29269020570918
+ ,1.09083902934299
+ ,0.640809564220057
+ ,-0.654553416503333
+ ,3.45822878067978
+ ,1.27021269162882
+ ,-1.88415061828193
+ ,0.908614567669563)
> par2 = '10'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
       mean            sd     
  1.552552e-16   4.300122e+00 
 (5.333644e-01) (3.771456e-01)
> postscript(file="/var/www/html/rcomp/tmp/1ct4z1198012427.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/238zu1198012427.tab") 
> 
> system("convert tmp/1ct4z1198012427.ps tmp/1ct4z1198012427.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.642   0.162   0.696