Histogram beast [Two-Stage / GS Designs]

posted by Helmut Homepage – Vienna, Austria, 2015-06-09 17:24 (3574 d 23:12 ago) – Posting: # 14934
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Dear Detlew!

❝ A better way would be to return the vector of ntot (your suggestion in our correspondence) …


Well, you convinced me that it doesn’t makes sense to return such a large vector (con­sisting easily of 1 mio elements).

❝ … instead of some histogram-data with standard settings.


Maybe. Maybe not. IMHO, it is good practice to select the number of bins based on the range of data. See help(nclass.Sturges)

❝ That would give you all freedom to design the histogram to your needs.


True.

❝ Example: 100 bins in the histogram


IMHO, that’s a bit over the top. ;-)
I guess that 50 are more than enough to prescind the first stage and show the log-dis­tri­bution of sample sizes in the second stage. Well, log="x" rightly throws warnings since this is not a histogram proper any more!

[image]

❝ Note the pronounced and outstanding role of N=24, the sample size for stage 1. Not so clear seen in your pictures above for OBF or Zheng. Partly now also seen for HP.


Righty-right! With some tweaks:

[image]

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