Dear all,
I am trying to apply the sapply function on a list, which comes out
from a matrix of 25 rows and two columns, so that each element of the
list, is a two column element. In my function within sapply, say f, I
would like each element of the list to become a vector so that I can
transpose
ion of R that did not
> allow to increase memory size from within R using memory.limit() which
> already has been fixed thanks to Brian Ripley.
>
> Uwe Ligges
>
>
>> On 1/12/2010 6:27 AM, alessia matano wrote:
>>>
>>> Fine, it worked. I will try in this
I see, now I got it.
and thanks for the example with matrix.
best
alessia
2010/1/12 Martin Maechler :
>>>>>> "am" == alessia matano
>>>>>> on Mon, 11 Jan 2010 16:20:57 +0100 writes:
>
> am> Many thanks for it.
> am> However
e the memory usage until the maximum I
can (5 giga?). If I am writing memory.limit(5000) it still gives me
the error:
don't be silly! Your machine has a 4Gb address limit
which is quite odd.
Many thanks
Best
A.
2010/1/12 alessia matano :
> ok, perfect!
> I will try with it...many many
t?
Thanks a lot
alessia
2010/1/11 Henrique Dallazuanna :
> Try this version (beta of development version):
>
> http://www.stats.ox.ac.uk/pub/RWin/Win64/R-2.11.0dev-win64.exe
>
> On Mon, Jan 11, 2010 at 2:29 PM, alessia matano wrote:
>> Dear all,
>>
>> do you
gt;
> On Mon, Jan 11, 2010 at 2:29 PM, alessia matano wrote:
>> Dear all,
>>
>> do you know if there is any particular version of R to implement with
>> windows 64 bit, in such a way to increase the amount of memory it can
>> use?
>>
>> How should I
Dear all,
do you know if there is any particular version of R to implement with
windows 64 bit, in such a way to increase the amount of memory it can
use?
How should I increase the memory, and more importantly to set a higher
max vector size? It still stops me saying "Could not allocate vector
of
chler :
>>>>>> "am" == alessia matano
>>>>>> on Mon, 11 Jan 2010 15:38:39 +0100 writes:
>
> am> Many thanks for your suggestions,
> am> fortunately when I closed R and opeedn it again, it did not give again
> am> that error. How
Ehlers wrote:
>
>> Do you have the same problem with the example
>> on the help page?
>>
>> ?'%x%-methods'
>>
>> Works for me on Windows Vista (32-bit OS) and
>> R version 2.10.1 Patched (2010-01-05 r50896).
>>
>> -Peter Ehlers
>>
Dear all,
I just installed the new version of R, 2.10.1, and I am currently
using the package sparseM. (I also use a 64 bit windows version)
I got a problem that I never had: when I try to multiply with a
kronecker product (%x%) two sparse matrixes I get the following
message:
Error in dim(x) <-
Dear all,
I just installed the new version of R, 2.10.1, and I am currently
using the package sparseM. (I also use a 64 bit windows version)
I got a problem that I never had: when I try to multiply with a
kronecker product (%x%) two sparse matrixes I get the following
message:
Error in dim(x) <-
Dear all,
I 'm implementing the koenker procedure for quantile fixed effects. I
would like also to apply weights to the procedure, so that to give
more weight to the observation that better represent my original
sample (much larger than it is possible to use in R). Do you know if
it is possible? H
Dear all,
I write you to ask you a suggestion about increasing memory in R. I
use a pc with ram of 4gb, and I put in the link of R the following
statementes, --max-memory.size=2074M and --max-vsize==500M, as I red
in many faq concerning this topic. However, when I run some
regression, the program o
Dear all,
I am running a quantile estimation with Sparse matrix and when I run
the procedure rq.fit.sfn I receive the following warning: tiny
diagonals replaced with Inf when calling blkfct.
Does anyone knows exactly what does it mean? What's this kind of
error? Should I get worried about this mes
Dear all,
I am running a quantile estimation with Sparse matrix and when I run
the procedure rq.fit.sfn I receive the following warning: tiny
diagonals replaced with Inf when calling blkfct.
Does anyone knows exactly what does it mean? What's this kind of
error? Should I get worried about this mes
Dear all,
I am writing you for two problems I can not solve with R. I used both
the 2.6.1 version and the 2.7.0 version.
I run a sintax written by a collegue of mine, where there are involved
both sparse matrix and quantile estimations. My data begins with
10008*14 observations and at maximum they
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