R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(0.084299365852926
+ ,-15.5692124815993
+ ,-6.9953619930182
+ ,-2.07575919037298
+ ,6.06472185178652
+ ,3.10063183929146
+ ,-7.27872604143293
+ ,11.9305592423578
+ ,-15.1800926797913
+ ,-4.96965957564265
+ ,-3.06184332688462
+ ,5.17876413221274
+ ,-2.29638814463019
+ ,-1.85853257792512
+ ,-8.74637895628288
+ ,-8.02346934029272
+ ,4.80319999595127
+ ,3.90173526693944
+ ,-11.3069080265042
+ ,4.26225040152088
+ ,-6.88628010104842
+ ,4.12797896412461
+ ,4.24824928932737
+ ,-5.91811547446539
+ ,-2.62127541719435
+ ,-5.11947651478644
+ ,-6.19169292552164
+ ,1.57682830128841
+ ,6.93381888926023
+ ,1.30435330636300
+ ,0.701451547474772
+ ,18.1487693268603
+ ,-13.6251962127511
+ ,-8.9684198944174
+ ,-3.48024416476534
+ ,0.133268755660886
+ ,0.156896176204026
+ ,-1.28412130463800
+ ,-8.4586972345603
+ ,-2.91518278408049
+ ,0.150465578819962
+ ,3.86877987666889
+ ,7.70993797103159
+ ,-4.11650976301151
+ ,-2.74475852656699
+ ,3.19286810860467
+ ,-6.2212027713738
+ ,1.25489355791219
+ ,4.23585013027417
+ ,0.153440583363572
+ ,-2.05719003274709
+ ,2.14422869581576
+ ,-1.68156215590428
+ ,5.0318450949173
+ ,2.24823311061623
+ ,-6.58372573676435
+ ,-2.85420176875137
+ ,5.0379752614482
+ ,4.43711208741108
+ ,-0.675511401722624
+ ,-2.50684702275299
+ ,2.35909448398834
+ ,-6.31849429304567
+ ,-3.81949862816358
+ ,2.17307118170725
+ ,4.13663986179168
+ ,-6.96229654560136
+ ,5.28008601863276
+ ,4.2774558989149)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_fitdistrnorm.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (available to developers only).
> library(MASS)
> par1 <- as.numeric(par1)
> if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
> x <- as.ts(x) #otherwise the fitdistr function does not work properly
> r <- fitdistr(x,'normal')
> r
      mean          sd    
  -0.9423635    6.0452235 
 ( 0.7277594) ( 0.5146036)
> postscript(file="/var/www/html/rcomp/tmp/1t66k1197999275.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
> curve(1/(r$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/2x41j1197999275.tab") 
> 
> system("convert tmp/1t66k1197999275.ps tmp/1t66k1197999275.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.159   0.237   1.224