[R] Flattening Graphics
baptiste auguie
baptiste.auguie at googlemail.com
Thu Feb 11 22:59:53 CET 2010
Hi,
On 11 February 2010 22:14, Paul Murrell <p.murrell at auckland.ac.nz> wrote:
> Hi
>
>
> baptiste auguie wrote:
>>
>> Hi,
>>
>> You could try the grid.grab() function in R devel if your graphics use
>> the Grid package. It will read the graphical output as a bitmap which
>
>
> grid.grab() does NOT grab a bitmap version of the current picture. It grabs
> all of the (grid-rendered) grobs in the current picture. You might be
> thinking of grid.cap(), which is currently only in the development version
> of R.
Oops, that's an unfortunate typo! Yes, I meant grid.cap() of course,
but failed to check the actual name, sorry.
> But if you want a raster version of the current plot, it would make
> more sense to use a raster device, like png().
It was my understanding that the output may contain several pages of
plots, and I don't know of a bitmap device in R which can do that.
All the best,
baptiste
>
> Paul
>
>
>> you can then export in a multipage pdf. It may not be really
>> flattening per se but that would definitely help with the viewing
>> speed.
>>
>>
>> HTH,
>>
>> baptiste
>>
>> On 11 February 2010 05:42, Dario Strbenac <D.Strbenac at garvan.org.au>
>> wrote:
>>>
>>> Hello,
>>>
>>> This question is a nightmare to search for, as I get so many irrelevant
>>> results. What I'm interested in doing if I have many pages of plots and I
>>> want to keep them together in the same document, say a PDF, is there a way
>>> to flatten all the dot plots and graphics, so that they don't take a long
>>> time to load on a slow computer in Adobe Reader, without using external
>>> programs outside of R ?
>>>
>>> Thanks,
>>> Dario.
>>>
>>> -------------------------------------------------
>>> Dario Strbenac
>>> Research Assistant
>>> Cancer Epigenetics
>>> Garvan Institute of Medical Research
>>> Darlinghurst NSW 2010
>>> Australia
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> 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
>> 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.
>
> --
> Dr Paul Murrell
> Department of Statistics
> The University of Auckland
> Private Bag 92019
> Auckland
> New Zealand
> 64 9 3737599 x85392
> paul at stat.auckland.ac.nz
> http://www.stat.auckland.ac.nz/~paul/
>
More information about the R-help
mailing list