[R] Load svg, eps or png into graphics device?
Rainer M Krug
R@|ner @end|ng |rom krug@@de
Mon Jun 22 09:04:55 CEST 2020
> On 21 Jun 2020, at 22:42, Paul Murrell <paul using stat.auckland.ac.nz> wrote:
> Do you mean you want to reduce *system requirements* ?
system requirements and package dependencies. Yes.
> I'm not sure you have many options.
That was my impression as well, and that is why I asked here - possibly somebody has any smart idea.
> Looking at the plantuml output format options, there is ...
> png via 'png', which requires libpng
> svg via 'grImport2', which requires 'rsvg', which requires librsvg2
Tried it, but did not work as well as
> eps via 'grImport', which requires ghostscript
Which I am using for the vector graph.
> ... and a number of other formats that cannot be read directly into R AFAIK.
> The only option that does not require dependencies looks like the "txt" format, which you could read in with readLines(), but I'm not sure you want an ASCII art version :)
Actually, it could actually be an option if none of the above is installed. Kind of cascading, depending if installed: eps - sag - png - ASCII art.
> On 20/06/20 2:56 am, Rainer M Krug wrote:
>> I have a package, which plots from the plantuml syntax (https://plantuml.com) graphs via a knitr engine, into a file, or into a graphics device (https://github.com/rkrug/plantuml).
>> I am using at the moment grImport for the eps import, but would like to cut down on dependencies.
>> Is there a way of bringing graphics files (png, sag, eps, …) into a graphics device in R?
>> Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany)
>> Orcid ID: 0000-0002-7490-0066
>> Department of Evolutionary Biology and Environmental Studies
>> University of Zürich
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> Dr Paul Murrell
> Department of Statistics
> The University of Auckland
> Private Bag 92019
> New Zealand
> 64 9 3737599 x85392
> paul using stat.auckland.ac.nz
Rainer M. Krug, PhD (Conservation Ecology, SUN), MSc (Conservation Biology, UCT), Dipl. Phys. (Germany)
Orcid ID: 0000-0002-7490-0066
Department of Evolutionary Biology and Environmental Studies
University of Zürich
Office: +41 (0)44 635 47 64
Cell: +41 (0)78 630 66 57
email: Rainer.Krug using uzh.ch
Rainer using krugs.de
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