[R] loading .rda file
Leslie Rutkowski
leslie.rutkowski at gmail.com
Tue Aug 30 21:38:33 CEST 2016
Thanks, all, for your quick and comprehensive help with this - very much
appreciated in my R journey.
Leslie
On Tue, Aug 30, 2016 at 8:03 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us>
wrote:
> Thanks for the perspective, Martin. I personally feel like attaching to
> the search path is more confusing than being explicit, because it appears
> indistinguishable from namespace pollution yet for modifying data it
> creates copies in the current environment (in-place editing requires `<<-`
> which requires keeping your search path in mind as you work to know when to
> use it).
> --
> Sent from my phone. Please excuse my brevity.
>
> On August 30, 2016 10:12:32 AM PDT, Martin Maechler <
> maechler at stat.math.ethz.ch> wrote:
> >>>>>> Jeff Newmiller <jdnewmil at dcn.davis.ca.us>
> >>>>>> on Tue, 30 Aug 2016 09:36:05 -0700 writes:
> >
> >> You cannot. However, you can load the file into a dedicated
> >environment to keep those names separated from your global environment.
> >e.g. [1]
> >
> >yes, that's my "famous" only-allowed use of attach() :
> >attach() an rda-file to your search patch instead of polluting
> >your globalenv.
> >
> > > The saveRDS / loadRDS
> >
> > saveRDS / readRDS are the correct names
> >
> >> functions are an alternative handle one object at a time without
> >dragging the object names into the picture (you have to name the
> >re-loaded object).
> >
> >The fact that it is readRDS() and not loadRDS(),
> >actually does convey via it is often "much better" in the sense
> >of functional / transparent programming to use this pair in
> >favor of save() / load() :
> >readRDS() does *return* what we are interested in, and
> >
> > result <- readRDS(<file>)
> >
> >is so much better than load(<file>) silently overwriting all
> >kinds of objects in my globalenv.
> >
> >Indeed, I strongly advocate to use saveRDS() and readRDS()
> >much more frequently than they are used nowawadays.
> >
> >
> >
> >> However, the best approach is to write scripts that pull directly
> >from your source (non-R) data files. This makes your work process
> >reproducible as you develop it.
> >
> >Yes, but that's sometimes too inefficient.
> >
> >And then, some of us do simulations and other expensive
> >computations, we need/want to save and re-read.
> >
> >and yes, I *always* use the equivalent of q("no") to leave R;
> >never save the workspace or load it at startup, unless
> >accidentally on non-standard (for me) platforms.
> >
> >Martin
> >
> > > [1] https://stat.ethz.ch/pipermail/r-help/2016-August/441078.html
> > > --
> > > Sent from my phone. Please excuse my brevity.
> >
> >> On August 30, 2016 7:37:24 AM PDT, Leslie Rutkowski
> ><leslie.rutkowski at gmail.com> wrote:
> > >> Hi,
> > >>
> >>> I'm slowly migrating from SAS to R and - for the very first time -
> >I'm
> >>> working with a native .Rda data file (rather than importing data
> >from
> > >> other
> >>> sources). When I load this .Rda file into the global environment
> >using
> >>> load("file path") I see a data.frame in the global environment
> >called
> > >> "mydata" that corresponds to the .rda file.
> > >>
> >>> My question: how can I change the name of this data.frame to
> >something
> > >> of
> > >> my choosing?
> > >>
> > >> Thanks for considering this very simple question.
> > >>
> > >> Leslie
> > >>
> > >> [[alternative HTML version deleted]]
> > >>
> > >> ______________________________________________
> > >> R-help at 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.
> >
> > > ______________________________________________
> > > R-help at 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.
>
>
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