[R] aggregating data with quality control

Stefano Sofia @te|@no@@o||@ @end|ng |rom reg|one@m@rche@|t
Sat Aug 31 17:28:25 CEST 2024


Thank you for all your suggestions.

Ivan's hint has been very easy to implement, a good solution indeed.


Thank you again

Stefano


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Stefano Sofia PhD
Civil Protection - Marche Region - Italy
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________________________________
Da: Ivan Krylov <ikrylov using disroot.org>
Inviato: sabato 31 agosto 2024 13:25
A: r-help using r-project.org; Stefano Sofia
Oggetto: Re: [R] aggregating data with quality control

[Non ricevi spesso messaggi di posta elettronica da ikrylov using disroot.org. Per informazioni sull'importanza di questo fatto, visita https://aka.ms/LearnAboutSenderIdentification.]

� Sat, 31 Aug 2024 11:15:10 +0000
Stefano Sofia <stefano.sofia using regione.marche.it> �����:

> Evaluating the daily mean indipendently from the status is very easy:
>
> aggregate(mydf$hs, by=list(format(mydf$data_POSIX, "%Y"),
> format(mydf$data_POSIX, "%m"), format(mydf$data_POSIX, "%d")),
> my.mean)
>
>
> Things become more complicated when I need to export also the status:
> this should be "C" when all 48 data have status equal to "C", and
> status "D" when at least one value has status ="D".
>
>
> I have no clue on how to do that in an efficient way.

You can make the status into an ordered factor:

# come up with some statuses
status <- sample(c('C', 'D'), 42, TRUE, c(.9, .1))

# convert them into factors, specifying that D is "more than" C
status <- ordered(status, c('C', 'D'))

Since the factor is ordered and can be subject to comparison like
status[1] < status[2], you can now use max() on your groups. If the
sample contains any 'D's, max() will return a 'D', because it's larger
than any 'C's. If the sample contains only 'C's, that's the maximal
value by default.

--
Best regards,
Ivan

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