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One of the argument we allow users to specify when computing get_delta_stats is called log_scale which spaces the sampling of individuals evenly along a log scale. I propose that if the user sets this argument to TRUE that the downstream calls to our plotting routines use a log transformed x-axis when the number of individuals (not the number of samples) is the variable being displayed.
Alternatively and maybe more generally another solution could be for users to just specify in the plotting routine whether they want log transforms on numbers of individuals, samples, or both. We could also provide this option for the S axis but for our visual displays we may want to stick with arithmetic scaling of S because it adds emphasis to the fact that the patterns show strong scale dependence.
The text was updated successfully, but these errors were encountered:
One of the argument we allow users to specify when computing
get_delta_stats
is calledlog_scale
which spaces the sampling of individuals evenly along a log scale. I propose that if the user sets this argument toTRUE
that the downstream calls to our plotting routines use a log transformed x-axis when the number of individuals (not the number of samples) is the variable being displayed.Alternatively and maybe more generally another solution could be for users to just specify in the plotting routine whether they want log transforms on numbers of individuals, samples, or both. We could also provide this option for the S axis but for our visual displays we may want to stick with arithmetic scaling of S because it adds emphasis to the fact that the patterns show strong scale dependence.
The text was updated successfully, but these errors were encountered: