[R] C: drive memory full

[Hiyoshi, Ayako]

Dear Professor Ripley,

Thank you so much for your quick reply.

I tried 'dianame(tempdir())' and removed several 'Rtemp' and all other files. Unfortunately it did not changed C: drive space much. 

I am really sorry, but could there be other things stored in somewhere in C: drive ?

I called IT support, but they could not spot either.

Kind regards,
Ayako

________________________________________
From: Prof Brian Ripley <ripley at stats.ox.ac.uk>
Sent: 17 June 2014 10:37
To: Hiyoshi, Ayako; r-help at R-project.org
Subject: Re: [R] C: drive memory full

tempdir() is specific to an R session.

Start up R and run

dirname(tempdir())

and look at that directory.  Shut down R, then remove all old
files/folders in that directory, especially those beginning with 'Rtmp'.

An R process tries to clean up after itself but

- it cannot do so if it segfaults ....
- Windows has rules which no other OS has which can result in files
being locked and hence not deletable.


On 17/06/2014 08:49, Hiyoshi, Ayako wrote:
> Dear R users,
>
>
>
> Hello, I am new to R and confused about my PC's memory space after using R a while.
>
>
>
> My PC is Windows 8, RAM 8GB. I have run some analyses using commands like "vglm", "aalen(Sruv())", lm()... some regressions.
>
>
>
> I also use Stata, and when I tried to run Stata (big file), Stata could not do something which used to do because of the lack of memory space. I suspect R's something because R is the only new activity I did recently.
>
>
>
> I tried to google and found 'tempdir()'.
>
> I checked my temporary file but it was empty.
>
> Just in case, after running 'unlink(tempdir(),recursive=TRUE)', I restarted my computer, but memory space did not change. But there seems still something big in my C: drive storage and nearly 12GB is eaten.
>
>
>
> Could it be possible that R saved something somewhere?
>
> As I finished analyses, all I need is to erase everything stored so that I can get my memory space back.
>
>
>
> Thank you so much for your help.
>
>
>
> Best wishes,
>
> Ayako
>
>
>
>
>
>
>
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>
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>


--
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)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595