Hi Jeremie,

Maybe you can take a look at the bigmemory  package.
 If you have multi core or have access to clusters, you may want to use any
parallel computing strategy.

For plotting of large data, if you are using basic R graphics, first try to
use "line" instead of using 'point',

if this still doesn't working, you may want to try an alternative way by
using qtinterface (R-forge project), install qtbase and qtpaint, they are
still under development, but painting in QT interface is a lot faster for
large data set.

Best

Tengfei

On Fri, Jul 9, 2010 at 2:42 AM, Jeremie Smaga <jeremie@4ecap.com> wrote:

> Good afternoon,
>
> I have been experiencing a lot of crashes working with large vectors in R.
>
> Specifically, I am using XTS of length of minimum 120k elements.
>
> My problem is that I cannot display the vector (otherwise R crashes), I
> cannot plot it either (otherwise R crashes). That could be solved by
> reducing the amount of points.
>
> However, I have been performing some statistical opreations on is and even
> sd(myXTS) crashes R.
>
> By "crashes", I mean shuts down without any warning whatsoever.
>
> I use R 2.11.1 (64).
>
> Has anyone had the same kind of problem?
>
> Can we solve this?
>
> Best,
>
>
> --
> Jeremie
>
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>
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>



-- 
Tengfei Yin
MCDB PhD student
1620 Howe Hall, 2274,
Iowa State University
Ames, IA,50011-2274
Homepage: www.tengfei.name

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