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I wonder if this would be simpler split into two functions for each of the options. I understand the thinking behind keeping them as one, but as there are no shared outputs, and few shared parameters, they may make more sense separately.
Some more information about what each of the parameters does here would be useful. For example, parameter R for option 2 is described as the interaction radius. I assumed this was related to the size of the landscape, so put in a value of 3 (so assuming that cells within a distance of 3 cells from each other are interacting). This causes the function to hang. It's the spatstat::rStrauss(200, gamma = g, R = R) that is doing this, and I found that it wouldn't run for me for a value of R > 0.1 (using g = 0.5).
like with nlm_neigh, rescale doesn't make sense here.
The text was updated successfully, but these errors were encountered:
ropensci/software-review#188 (comment):
I wonder if this would be simpler split into two functions for each of the options. I understand the thinking behind keeping them as one, but as there are no shared outputs, and few shared parameters, they may make more sense separately.
Some more information about what each of the parameters does here would be useful. For example, parameter R for option 2 is described as the interaction radius. I assumed this was related to the size of the landscape, so put in a value of 3 (so assuming that cells within a distance of 3 cells from each other are interacting). This causes the function to hang. It's the spatstat::rStrauss(200, gamma = g, R = R) that is doing this, and I found that it wouldn't run for me for a value of R > 0.1 (using g = 0.5).
like with nlm_neigh, rescale doesn't make sense here.
The text was updated successfully, but these errors were encountered: