Lorenzo Isella wrote:
Dear All,
Apologies if this is too simple for this list.
Let us assume that you have an instrument measuring particle distributions.
The output is a set of counts {n_i} corresponding to a set of average
sizes {d_i}.
The set of {d_i} ranges from d_i_min to d_i_max either line
Hi Lorenzo,
I think it would be better if you provided a few example
datasets/tables. Right now, I can't exactly circumscribe your problem.
When binning data, the cut() function tends to be very useful. To fit
common univariate distributions to a given dataset, you should take a
look at the
Dear All,
Apologies if this is too simple for this list.
Let us assume that you have an instrument measuring particle distributions.
The output is a set of counts {n_i} corresponding to a set of average
sizes {d_i}.
The set of {d_i} ranges from d_i_min to d_i_max either linearly of
logarithmically.
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