Pre-process your data into per-day or per-month records, then plot it. There are
many ways to do this... for example, base R has the aggregate function, and the
dplyr package has the group_by/summarise functions, and the data.table package
can do this as well (read the vignettes).
All of these techniques require that you learn how to deal with timestamps using
one or more of the time classes. The most common of these can be introduced by
reading
?DateTimeClasses
and/or reading some of the fine blogs online regarding this topic. Note that the
trunc.POSIXt function offers one way to identify which time interval each record
of your data belongs to.
If you need more assistance, read the Posting Guide and create a reproducible
example similar to the data you are working with, and be sure to post it using
plain text so it does not get corrupted in the mailing list.
On August 9, 2018 7:51:19 AM PDT, Edoardo Silvestri <silvestri.casali at
gmail.com> wrote:>Hi all,
>I have a little problem with plot function..
>I have an hourly dataset and I would like plot a variable with x-axis
>based
>on daily or monthly frequency, just to have a better visualization and
>avoid on x-axis all hours of the dataset.
>
>Do you know what is the solution?
>Thanks
>Edo
>
> [[alternative HTML version deleted]]
>
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>and provide commented, minimal, self-contained, reproducible code.
--
Sent from my phone. Please excuse my brevity.