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I suggest that the descriptive statistics section include the median. Alan Miller's median.f90 could be used. Arguably any library that has a function for the mean should also have one for the median, since the latter is a more robust measure of central tendency (although less efficient than the arithmetic mean for Gaussian data).
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Thank you for opening this thread. I agree with you that stdlib should include a function for the median (but also for the quartiles,..). However, such functions need sorting algorithms. This might be solved in a near-future with #98. I think it is better to rely on a module that provide general algorithms, instead of implementing its own algorithm as in Alan Miller 's code.
This issue is also related to #113 in which such a function was already proposed.
I suggest that the descriptive statistics section include the median. Alan Miller's median.f90 could be used. Arguably any library that has a function for the mean should also have one for the median, since the latter is a more robust measure of central tendency (although less efficient than the arithmetic mean for Gaussian data).
The text was updated successfully, but these errors were encountered: