[R-SIG-Mac] XQuartz

[Prof Brian Ripley]

And what does any of this have to do with XQuartz?  That is the 
third-party X11 server/sub-system for OS X.  Perhaps the quartz() device 
was meant ....

For the sake of those reading the archives, can we have a much clearer 
statement of the actual problem?  There might be better solutions, 
including quartz(type = "pdf') (which is closer to what 'Save As' from 
the quartz() device does).


On 25/09/2013 13:31, R Erickson wrote:
> Thanks for sharing this! I always wondered what was the trick for
> creating multistage PDFs from R.
>
> On Tue, Sep 24, 2013 at 4:19 PM, R. Michael Weylandt
> <michael.weylandt at gmail.com> <michael.weylandt at gmail.com> wrote:
>>
>>
>> On Sep 24, 2013, at 13:16, R Erickson <raerickson at gmail.com> wrote:
>>
>>> Hi Paul,
>>>
>>> Rather than use XQuartz, avoid "printing" the image and use the
>>> pdf()/def.off() commands. Here's an example that I think answers your
>>> question:
>>>
>>> for(i in 1:10){
>>> x <- i*1:10
>>> y <- sqrt(x)
>>> pdf(paste("File",i,".pdf",sep=""))
>>> plot(x,y, main = paste("Test Case",i),type = 'l')
>>> dev.off()
>>> }
>>
>> Or, move pdf() before and dev.off() after the loop and make one big file with all the graphs on different pages.
>>
>> M
>>>
>>> Note that the paste function gives you the file name within the pdf
>>> function. Check out the ?pdf file to see how to change the width,
>>> height, or file type.
>>>
>>> If you are using ggplot2, ggsave can do similar things.
>>>
>>> Does this help?
>>>
>>> Richard
>>>
>>> On Tue, Sep 24, 2013 at 12:01 PM, Paul Ossenbruggen <pjo at cisunix.unh.edu> wrote:
>>>> I am generating within a loop a large number of XQuartz images. I know that I can use the Save As command to save each one individually. This is very time consuming and tedious. Is it possible to save them  automatically with a R script command?
>>>>
>>>> Thanks for any tip that one can offer.
>>>>
>>>> Paul


-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
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