> 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 -- View this message in context: http://r.789695.n4.nabble.com/Please-help-me-about-Monte-Carlo-Permutation-tp3017131p3017131.html Sent from the R help mailing list archive at Nabble.com. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
