Dear Jennifer
See inline below
On 27/10/2015 12:20, Lorenz, Jennifer wrote:
Hi everyone,
I am trying to perform a multiple imputation with mice on a dataset of about 13000 observations and
178 variables. I can start an "empty" imputation ("imp_start <- mice(data,
maxit=0)"), but after a few minutes R stops with the following error message:
Error: cannot allocate vector of size 2.0 Gb
In addition: Warning messages:
1: In col(value) :
Reached total allocation of 8078Mb: see help(memory.size)
2: In col(value) :
Reached total allocation of 8078Mb: see help(memory.size)
3: In unique.default(x) :
Reached total allocation of 8078Mb: see help(memory.size)
4: In unique.default(x) :
Reached total allocation of 8078Mb: see help(memory.size)
5: In unique.default(x) :
Reached total allocation of 8078Mb: see help(memory.size)
6: In unique.default(x) :
Reached total allocation of 8078Mb: see help(memory.size)
I am using R (with R Studio) on Windows 7, my computer has a total of 8 GB RAM.
Following advice I found on the internet, I installed the newest R-version
(64-bit) and tried the following commands:
Well the internet is wonderful, but ...
memory.size(max = F)
memory.limit(size=NA)
... R documentation is even more wonderful.
?memory.limit
says that (size = NA) reports the limit but does not set it.
But I still get the same error. Now I am wondering, if my dataset is really to
large for mice or R? Or is there any other setting I could use to increase
memory size for R? I would really appreciate if anyone who is familiar with
this problem would share their insights...
Thanks,
Jen
---
Jennifer Lorenz, M.A.
Georg-August-Universit�t G�ttingen
Sozialwissenschaftliche Fakult�t
Institut f�r Erziehungswissenschaft
Lehrstuhl Schulp�dagogik / Empirische Schulforschung
e-mail: jlor...@uni-goettingen.de<mailto:jlor...@uni-goettingen.de>
phone: 0551-39-21411
adress: Waldweg 26, 37073 G�ttingen
room: 8.106
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--
Michael
http://www.dewey.myzen.co.uk/home.html
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