Sweep of Dilution Factors

[briandconnelly]

Do a factorial-ish sweep of dilution rates. This might affect drift.

• [x] Do simulations with 30% (reviewer suggested), 9%, and 3%. Our baseline is 90%.
• Combine data and create figure(s)
  • [x] Time series plot
  • [x] Integral in each of the treatments? We haven't used the integral in this paper yet, so would require explanation
• Add relevant things to repository
  • [x] Configuration file(s)
  • [x] Data set
  • [x] Analysis scripts
  • [x] Figures

[briandconnelly]

Re: a question that came up in meeting with @evokerr, in contrast to the Hankshaw model, individuals that survive dilution actually remain in the population.

[briandconnelly]

Here are the results. Overall, it looks like the process is pretty robust to different dilution factors. Unfortunately, the one treatment in which cooperators were purged is the one where 30% were removed. The different panels show the proportion of individuals that remain after the dilution.

Or the integrals (which we haven't used for this paper, but probably will need to introduce them for these sweeps).

[briandconnelly]

Important to consider: populations experience the same number of mutations despite the dilution factor. This is because all individuals are subject to mutation after growth, whether the individuals were new in that cycle or remained. This might be another property of the model that an outsider wouldn't expect.

[briandconnelly]

Updated results: