[R] density vs. mass for discrete probability functions

[Rui Barradas]

Hello,

Yes, there is even an old discussion on this on r-devel, dated August, 
10 2013.
See [1].


[1] 
https://r-project.markmail.org/search/?q=broken-link-in-docs-for-Binormial-functions#query:broken-link-in-docs-for-Binormial-functions+page:1+mid:rf6tbiokcdyai6el+state:results


Hope this helps,



Rui Barradas

Às 14:21 de 15/03/2019, Stefan Schreiber escreveu:
> Thank you Peter and Spencer. That clears things up. Also since no one
> responded the second part of my question, I'm still wondering if it was
> noted that there is a hyperlink in the dbinom help file (?dbinom) that
> isn't directing correctly?
> 
> Stefan
> 
> On Fri, Mar 15, 2019, 07:37 peter dalgaard, <pdalgd using gmail.com> wrote:
> 
>> Mathematically, you can bring discrete and continuous distributions on a
>> common footing by defining probability functions as densities wrt. counting
>> measure. You don't really need Radon-Nikodym derivatives to understand the
>> idea, just the fact that sums can be interpreted as integrals wrt counting
>> measure, hence sum_{x in A} f(x) and int_A f(x) dx are essentially the same
>> concept.
>>
>> -pd
>>
>>> On 15 Mar 2019, at 01:43 , Stefan Schreiber <sschreib using ualberta.ca>
>> wrote:
>>>
>>> Dear R users,
>>>
>>> While experimenting with the dbinom() function and reading its
>>> documentation (?dbinom) it reads that "dbinom gives the density" but
>>> shouldn't it be called "mass" instead of "density"? I assume that it
>>> has something to do with keeping the function for "density" consistent
>>> across discrete and continuous probability functions - but I am not
>>> sure and was hoping someone could clarify?
>>>
>>> Furthermore the help file for dbinom() function references a link
>>> (http://www.herine.net/stat/software/dbinom.html) but it doesn't seem
>>> to land where it should. Maybe this could be updated?
>>>
>>> Thank you,
>>> Stefan
>>>
>>> ______________________________________________
>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> --
>> Peter Dalgaard, Professor,
>> Center for Statistics, Copenhagen Business School
>> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
>> Phone: (+45)38153501
>> Office: A 4.23
>> Email: pd.mes using cbs.dk  Priv: PDalgd using gmail.com
>>
>>
>>
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>>
> 
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> 
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>