How to calculate skewness and kurtosis via 'groupsummary'?

3 vues (au cours des 30 derniers jours)
Jiashun Wu
Jiashun Wu le 23 Août 2021
Modifié(e) : Jiashun Wu le 24 Août 2021
Hi!
I have a question about how to calculate skewness and kurtosis using the 'groupsummary' function.
I am working with a subset of variables from a table.
Thanks for your help!

Réponses (1)

dpb
dpb le 23 Août 2021
Modifié(e) : dpb le 23 Août 2021
Presuming you have the Statistics Toolbox which defines the two statistics of interest m-files--
G = groupsummary(T,groupvars,method,datavars)
where
method={'skewness','kurtosis'};
You'll define the other inputs to match your wishes on grouping and data variables.
If you don't have the requisite TB, then write your own functions and refer to them in their place.
  1 commentaire
Jiashun Wu
Jiashun Wu le 24 Août 2021
Modifié(e) : Jiashun Wu le 24 Août 2021
Thanks dpb for your comments.
I do have the Statistics Toolbox (Fullname: Statistics and Machine Learning Toolbox).
But the computation methods in groupsummary do not include 'skewness' nor 'kurtosis' (i.e., the code you provided would not work) --- https://www.mathworks.com/help/matlab/ref/double.groupsummary.html?s_tid=doc_ta.

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