R version 2.15.2 (2012-10-26) -- "Trick or Treat"
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(155,0,28,53,30,10,27,38,0,0,152,45,25,38,26,10,24,28,0,0,11,0,4,57,9,0,14,34,29,0,239,25,13,24,17,14,12,148,30,8,64,0,33,28,0,6,25,2,24,14,3,9,53,24,144,13,21,29,13,56,11,1,35,8,37,1,40,17,36,12,15,13,16,49,32,14,3,22,2,39,9,0,79,12,1,4,16,180,0,0,2,19,9,34,0,38,36,0,45,2,11,14,38,0,16,1,13,14,170,3,36,14,9,43,6,36,3,2,29,106,0,6,45,38,18,0,0,0,0)
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(MASS)
> (f<-fitdistr(x, 'negative binomial'))
      size          mu    
   0.5244903   27.1162791 
 ( 0.0649033) ( 3.3283305)
> xlab <- paste('NegativeBinomial(size=',round(f$estimate[[1]],2))
> xlab <- paste(xlab,', mu=')
> xlab <- paste(xlab,round(f$estimate[[2]],2))
> xlab <- paste(xlab,')')
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Parameter',1,TRUE)
> a<-table.element(a,'Estimated Value',1,TRUE)
> a<-table.element(a,'Standard Deviation',1,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'size',header=TRUE)
> a<-table.element(a,f$estimate[1])
> a<-table.element(a,f$sd[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mu',header=TRUE)
> a<-table.element(a,f$estimate[2])
> a<-table.element(a,f$sd[2])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/1ht5a1352866888.tab") 
> 
> 
> 
> proc.time()
   user  system elapsed 
  0.299   0.069   0.348