I would like to know how the cutoff value is applied by this tool. If I apply a cutoff of 0.2 I understand that only Identities that make up to a 20% of the population at a given time/generation would be represented. Therefore, if an identity corresponded to only a 5% across time, and another identity were also only 5%, when using Muller_plot() I would expect that the cumulative values reached 90%, and the rest of the space will be white (or other color) to represent the "others" (all the identities that didn't reach the cutoff value). But what I see is that the resulting plots always add up to 100%. How is this calculated, are those "others" minority ones omitted, or represented as part of their corresponding parent identity?
Hello,
I would like to know how the cutoff value is applied by this tool. If I apply a cutoff of 0.2 I understand that only Identities that make up to a 20% of the population at a given time/generation would be represented. Therefore, if an identity corresponded to only a 5% across time, and another identity were also only 5%, when using Muller_plot() I would expect that the cumulative values reached 90%, and the rest of the space will be white (or other color) to represent the "others" (all the identities that didn't reach the cutoff value). But what I see is that the resulting plots always add up to 100%. How is this calculated, are those "others" minority ones omitted, or represented as part of their corresponding parent identity?
I hope my question is clear.
Thanks,
Isabel