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compute sample metics before and after particles reduction #5
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Just in case you need it, weighted binning in numpy's nd histograms as well as pandas + statsmodels might offer similar functionality in python [SO]. But especially moments are not too hard to implement quickly oneself: wiki |
@ax3l you are right, moments should be easily available or in the worst case easy to implement. And that linked R package seem to offer nothing more (so by itself it should definitely not be a reason to switch to R). Additionally to that - and that is what is maybe more presented in R than python - we need metrics used in statistics, that fall into three categories:
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It makes sense to calculate the sample metrics before and after the distribution. We need to consider weights for each item. There is good package in R for it.
Weighted.Desc.Stat
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