
> Dear R experts,
>I am sorry for my inability.
>I have the following dataset:

 > Qtot Itot
>1   73  684
>2   64  451
>3   71  378
>4   65  284
>5   47  179
>6   31  117
>7   19   69
>
>Now I need to perform Monte Carlo Pertutation test underlaying the
following condition.
>
>
>Condition
>
>In order to choose randomly (5000 times) for the Qtot in the interval 0 to
the maximum possible value of
>
>Qtot for each observed value of the independent variable (Itot), Monte
Carlo tests needed to be perform to test the null hypothesis. The
>maximum observed value is either the calculated size of the regional pool
(Interpolated value), or the measured size of the actual
>
>pool. Each time correlation coefficient (r) between independent and
dependent variable has to be calculated in order to achieve
>
>the empirical distribution of r for the null hypothesis conditions.
>
>Now please help me how to do?
>I have also intalled combinat library in R. But could not perform by
myself.
>I will be highly grateful.
>Thanks.
>
-->
Chitra Bahadur Baniya (PhD)
Lecturer
Central Department of Botany
Tribhuvan University
Kirtipur
Kathmandu, Nepal

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