If you are plotting that many data points, you might want to look at
'hexbin' as a way of aggregating the values to a different
presentation. It is especially nice if you are doing a scatter plot
with a lot of data points and trying to make sense out of it.
On Wed, Apr 27, 2011 at 5:16 AM, Jonat
> Date: Wed, 27 Apr 2011 14:40:23 +0200
> From: jonat...@k-m-p.nl
> To: r-help@r-project.org
> Subject: Re: [R] Speed up plotting to MSWindows graphics window
>
>
> On 27/04/2011 13:18, Mike Marchywka wrote:
> >
>
On 27/04/2011 13:18, Mike Marchywka wrote:
>
>> > Date: Wed, 27 Apr 2011 11:16:26 +0200
>> > From:jonat...@k-m-p.nl
>> > To:r-help@r-project.org
>> > Subject: [R] Speed up plotting to MSWindows graphics window
>> >
>> > Hello,
>> >
>> > I am working on a project analysing the performance of
On 27.04.2011 12:56, Duncan Murdoch wrote:
Jonathan Gabris wrote:
Hello,
I am working on a project analysing the performance of motor-vehicles
through messages logged over a CAN bus.
I am using R 2.12 on Windows XP and 7
I am currently plotting the data in R, overlaying 5 or more plots of
d
> Date: Wed, 27 Apr 2011 11:16:26 +0200
> From: jonat...@k-m-p.nl
> To: r-help@r-project.org
> Subject: [R] Speed up plotting to MSWindows graphics window
>
> Hello,
>
> I am working on a project analysing the performance of motor-vehicles
> through messages logged over a CAN bus.
>
> I am using
Jonathan Gabris wrote:
Hello,
I am working on a project analysing the performance of motor-vehicles
through messages logged over a CAN bus.
I am using R 2.12 on Windows XP and 7
I am currently plotting the data in R, overlaying 5 or more plots of
data, logged at 1kHz, (using plot.ts() and p
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