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  • TheSeqGeek
    Member
    • Feb 2014
    • 40

    #1

    R rnegbin

    Anyone know what is the explicit function that is being plotted when rnegbin is called i.e. what is the exact function for negative binomial?

    For example using these numbers

    Code:
    plot(rnegbin(1000, 45, 5))
  • dariober
    Senior Member
    • May 2010
    • 311

    #2
    Originally posted by TheSeqGeek View Post
    what is the exact function for negative binomial?
    From the help of rnegbin:

    The function uses the representation of the Negative Binomial
    distribution as a continuous mixture of Poisson distributions with
    Gamma distributed means
    and from the code itself:

    Code:
    rpois(k, (mu * rgamma(k, theta))/theta)

    Comment

    • Michael.Ante
      Senior Member
      • Oct 2011
      • 127

      #3
      rnegbin is a function which generates values according to a Negative Binomial distribution. The result of your example generates a vector of 1000 values.
      Please use the R help function for more information.
      Moreover, just typing the function name gives you:
      Code:
      > rnegbin
      function (n, mu = n, theta = stop("'theta' must be specified"))
      {   
          k <- if (length(n) > 1L)
              length(n)
          else n
          rpois(k, (mu * rgamma(k, theta))/theta)
      }
      The plot function is just plot.default with your 1000 values on the y-axis and each values rank in the vector on the x-axis.

      Comment

      • TheSeqGeek
        Member
        • Feb 2014
        • 40

        #4
        I guess I was more looking for f(x) = e^(lambda) bla bla bla

        Comment

        • dpryan
          Devon Ryan
          • Jul 2011
          • 3478

          #5
          It'd be the probability mass function, which you can find on wikipedia.

          Comment

          • TheSeqGeek
            Member
            • Feb 2014
            • 40

            #6
            Thank you.... I looked on Wikipedia and didn't know which one of those... PMF will do

            Thanks

            Comment

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