Dunglife


In wild life studies it is necessary to estimate number of animals of a species. This can be done in two ways, direct counting of animals or indirect counting using dung piles. The logic behind indirect count is as follows: each animal produces a given number of dung piles per day (P). One dung pile remains observable on the ground for a few days (D) after which it gets mixed up with soil. Estimate of the number of animals is given by total number of dung piles on the ground divided by (D*P).
Thus we need to know the average number of days (D) for which a dung pile lasts on the ground. In case of dear, dung is described using the term 'pellet'. 
The data given refer to a study on dear conducted in Bandipur Tiger Reserve in Karnataka, India.


datasets

Collection of datasets as prepared by Profs. A.P. Gore, S.A. Paranjape, and M.B. Kulkarni of Department of Statistics, Poona University, India. With their permission, first letter of their names forms the name of this package, the package has been built by me and made available for the benefit of R users. This collection requires a rich class of models and can be a very useful building block for a beginner.

Prabhanjan Tattar

100 Data Sets for Statistics Education

Dunglife function

A data frame with 55 observations on the following variable.
  <dl>
    <dt><code>Decay</code></dt><dd>Days to decay (life in days)</dd> </dl> 

Format

http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html

Dunglife: Dung decay data

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