Agreed. I don't see any evidence of a "hard limit" here. It just looks like the code you're running has exhausted the memory of your machine. It doesn't require creating a lot of 12.6 Gb vectors to do that, even on a machine with a lot of memory ;-)

H.

On 4/7/20 08:05, Thierry Onkelinx via R-devel wrote:
Dear Samuel,

The most important information from your mail was the actual error message:
"cannot allocate vector of size 12.6 Gb".

You'll need to know what code generated this error message. And then figure
out if the code does something sensible. Often that is not the case when
you get a similar error message.

Best regards,

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
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Op di 7 apr. 2020 om 16:16 schreef Samuel Granjeaud IR/Inserm <
samuel.granje...@inserm.fr>:

Hi Tomas,

Many thanks for your answer.

Here is a copy of a fresh session under RStudio, and after a copy under
Rgui.
Strangely enough the result of memory.limit() is not the same. Without
your question I would not have looked to RGui, being used to work with
RStudio.

The value under RGui sounds to correspond to the total RAM of the
computer. It makes me noticing that the value is in MB.

The value under Rstudio was so huge (1.759219e+13) that I just
interpreted it as GB. But I was totally wrong. So in fact I don't know
what it refers to. The documentation says "For a 64-bit versions of R
under 64-bit Windows the limit is currently 8Tb.", but it looks like
being 16TB, which my computer don't have of course.

I still have to understand why my colleague has a problem of memory
allocation (cannot allocate vector of size 12.6 Gb).

Sorry for the wrong interpretation, but thanks for the help,
Samuel

--- RStudio

R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

  > memory.limit()
[1] 1.759219e+13
  > sessionInfo()
R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

locale:
[1] LC_COLLATE=French_France.1252  LC_CTYPE=French_France.1252
LC_MONETARY=French_France.1252 LC_NUMERIC=C
[5] LC_TIME=French_France.1252

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

loaded via a namespace (and not attached):
[1] compiler_3.6.3 tools_3.6.3
  >

--- RGui

R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

  > ls()
character(0)
  > memory.limit()
[1] 32627
  > sessionInfo()
R version 3.6.3 (2020-02-29)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)

Matrix products: default

locale:
[1] LC_COLLATE=French_France.1252  LC_CTYPE=French_France.1252
LC_MONETARY=French_France.1252
[4] LC_NUMERIC=C                   LC_TIME=French_France.1252

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

loaded via a namespace (and not attached):
[1] compiler_3.6.3
  >

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