[R] Exporting Graphs

baptiste auguie baptiste.auguie at googlemail.com
Sun Feb 21 20:55:44 CET 2010


Hi,

just to make sure, you didn't forget to close the device with dev.off() ?

baptiste

On 21 February 2010 20:48, Karthik <kwr500 at gmail.com> wrote:
> Hello Tal,
> This is the code.
>
> ------------------------
>> hist(rnorm(100))
>> jpeg("histogram.jpeg")
> -----------------------
>
> Even when I decrease the quality, I still have the same problem.
>
> ----------------------------
>> hist(rnorm(100))
>> jpeg("histogram.jpeg",quality=30)
> ----------------------------
>
> Thank you for taking a look.
> Karthik
>
> On Sun, Feb 21, 2010 at 11:32 AM, Tal Galili <tal.galili at gmail.com> wrote:
>>
>> Hi Karthik,
>> Please give a sample code of what it is that you are doing that is causing this.
>> Also, have a look at:
>> ?pdf
>> Or
>> ?png
>>
>> Cheers,
>> Tal
>>
>> ----------------Contact Details:-------------------------------------------------------
>> Contact me: Tal.Galili at gmail.com |  972-52-7275845
>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English)
>> ----------------------------------------------------------------------------------------------
>>
>>
>>
>>
>> On Sun, Feb 21, 2010 at 9:27 PM, Karthik <kwr500 at gmail.com> wrote:
>>>
>>> I am a beginner to R, and am working on exporting graphs. Even when I
>>> reduce the quality, it takes 30 or 40 minutes to export the graph.
>>> Does anyone have suggestions on how to make it faster?
>>>
>>> Thank you!
>>> Karthik
>>>
>>> ______________________________________________
>>> 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.
>



More information about the R-help mailing list