Hello there
I have the following model based on the hollings disc equation for the type II functional response for 2 data sets: nls(eaten~(a*suppl)/(1+a*h*suppl) where eaten is the number of prey eaten by a predator and suppl is the number of prey initially supplied to the same predator. I have parameter estimates of 'a' and 'h' for the two populations studied and would like to know if there is a significant different in the estimates between the two i.e. a1 vs a2, h1 vs h2. I would like to bootstap the data to get multiple (~1000) estimates and compare then via a ttest or equivalent. Is it possible to do this and obtain multiple estimations which I can go on to test? Im pretty new to R and struggling to get codes to work. Any advice or to be pointed in the right direction would be much appreciated. Cheers :) -- View this message in context: http://r.789695.n4.nabble.com/boostrap-an-nls-regression-tp3257974p3257974.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.
