Dear List,
In my previous posting
(https://stat.ethz.ch/pipermail/r-help/2013-February/347593.html), I
refer to playing around with distribution fitting for a particular sort
of data (see dat1 in the previous posting):
I collected absolute node degrees of some network structure and computed
the relative node degrees. This is because I want to compare different
networks at another stage.
Based on relative degrees, I attempted some distribution fitting
procedures (see my previous posting). However, I realized that zero
values (representing isolates in the network) in an otherwise continuous
variable are problematic (well, not much of a surprise).
I am wondering how to best deal with those isolates/zeros? Excluding
them entirely would be an option but isolates are relevant for my
analysis. Are there best practises for dealing with such a hybrid variable?
I am aware of censored methods (for regression analysis etc.), but not
when it comes down to distribution fitting, I fear.
Many thanks,
Stefan
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