R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(4.25,4.25,4.5,5.25,5,7,4.75,5.5,4,4.5,6.25,4.25,3.5,2.75,6.75,5,5.5,5.5,5.25,5.75,4.25,6,3.5,4.25,5.75,6,6,2,5.5,5.75,6.25,5.25,6,3.75,5.5,5.25,6.25,4,7,5.75,5.25,5.25,6.5,5.5,5.25,4.5,3,6.25,4.25,6,3.75,3.25,6.5,4,6,5.25,5,3.5,6.25,6.25,5,5.5,5,6.5,4.5,5.5,6,4.25,6,5,4.75,5,3.75,5.75,6.5,5.5,5,6,6.5,5.25,6.25,3.25,5,5.5,5.75,7,5.5,5,1.5,5.25,5,4.5,5.75,5,6,5.5,5.25,4.5,5.25,5.75,5.75,3.75,5.25,6,5.75,5.25,5.25,5,2.75,5.5,6.75,6.25,4.5,5,6,2.5,6.75,5.25,5.25,4.5,3.75,6,5.5,3.5,7,4.5,6.5,4.25,4.75,5.5,4.5,6,3.75,4.5,6.5,2.75,6.5,5.25,5.75,5.75,3.75,5.5,6.5,4,5,4.5,5.5,4,4.75,5,4.75,5.75,6,6.25,5.25,5.25,5.75,6.75,5.75,4.5,4,4)
> par2 = '0'
> par1 = '8'
> ylab = 'density'
> xlab = 'value of data series'
> main = 'Histogram and Fitted Normal Density'
> 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    
  5.14043210   1.04266299 
 (0.08191934) (0.05792572)
> postscript(file="/var/fisher/rcomp/tmp/10ho01350387308.ps",horizontal=F,onefile=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$estimate[2])^2),min(x),max(x),add=T)
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,r$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/fisher/rcomp/tmp/2awsm1350387308.tab") 
> 
> try(system("convert tmp/10ho01350387308.ps tmp/10ho01350387308.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.952   0.146   1.080