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Hello, Having measured two populations' characteristics at one particular time[with great precision] with R, I would like to extend this to measuring the same populations starting at t1, and then again at t2, and try to develop a growth model (something like dpop1/dt=r*pop^(...),dpop2/dt=r*pop^(...)). I think the idea is to create a model that will predict the growth of a population(N(mu,

...ields! Again, I hope that some significant predictors like height and root length would help define a plant's likely number of flowers. There's a good basic outline of the model I'm trying to make( it is about bears populations changing over time): www.fish.washington.edu/.../Stochastic%20Population%20Models.ppt It's just that it seems someone else may have started a path in this direction in connection with R or another software, ... -s [[alternative HTML version deleted]]

Dear folks ? I have a large (26 gig) ASCII flat file in fixed-width format with about 10 million observations of roughly 400 variables. (It is 51 years of Current Population Survey micro data from IPUMS, roughly half the fields for each record). The file was produced by automatic process in response to a data request of mine. The file is not accompanied by a human-readable file giving the