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...on of population density at time t against lagged population density. However, what we are trying to calculate is the partial correlation between rate of population change, Rt=log Nt/Nt-1, against lagged population densities. Which is the partial rate correlation function propsed by Berryman & Turchin (1999). The list archives give show methods for estimating partial correlation for 2 or 3 variables only. Could any list member please suggest how this could be done for more variables, say Nt-1 to Nt-10. Thank you, Scott ============================================= Hello Tomas! There are func...

..., now that my variances are so small? Using pnorm instead returns my data to what's expected, but my understanding is that pnorm gets me a probability now, not a likelihood. Could I use the output from pnorm in a likelihood ratio test (which was my original plan)? Thanks for any help, ~Michael Turchin Children's Hospital Boston

Is there a way to append to the outfile when using R CMD BATCH? My code, right now, is: R CMD BATCH --slave --vanilla '--args place .2 -.1 .9 .6' StratificationSimulation example.output Everything else is working the way I'd like it. The first few lines of code of my script file are: options(echo=FALSE) cmd_args = commandArgs() print (cmd_args) #d <-

Hey all, So I'm manually conducting a sliding window test, and I would like to tack on results to some variable as the results are outputted. I'm using a for loop, and I am currently using an array as my 'output collector' variable, though I know I should be using a dataframe of some sort. My question is how to properly initialize a dataframe, and then add results to it as I go

Hey all, Sorry if this is redundant, but I can't figure out a good search query for either the mailing list, or google, to find an answer to this. Let's say I have a couple of R options I'm interested in learning more about, but their details aren't explained in the command's help file. For example, for R CMD BATCH --help, it discusses the use of --restore, --save and