I am currently testing species co-occurrence patterns using null models and the oecosimu() function within the vegan() package. My issue is that none of the methods appear to be the ones that I want. The methods listed are r0, r1, r2, r2dtable, swap, tswap. However, I want to know how to go about implementing fixed row algorithms, as suggested in Gotelli 2000 in Ecology.
Also, the null models created seem to be incredibly dependent on the 1) burnin and 2) thin values. These are the 1) Number of null communities discarded before proper analysis in sequential methods "swap" and "tswap" and 2) Number of discarded null communities between two evaluations of nestedness statistic in sequential methods "swap" and "tswap". What are the significance of these values? -- View this message in context: http://r.789695.n4.nabble.com/Null-models-of-species-co-occurrence-tp4325097p4325097.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.