[R] unexpected R crash - again
Yves Gauvreau
cyg at sympatico.ca
Sat Aug 26 02:00:07 CEST 2000
If I recall Ripley said something about workspace but it was an internal arg
to the function as in
fisher.test(x, y = NULL, workspace = 200000, hybrid = FALSE,
or = 1, alternative = "two.sided", conf.level = 0.95)
I think that it's this "workspace" argument he meant and should be
increased.
Regards.
----- Original Message -----
From: "Andy Jaworski" <apjaworski at mmm.com>
To: <r-help at stat.math.ethz.ch>
Sent: Friday, August 25, 2000 5:10 PM
Subject: [R] unexpected R crash - again
> Sorry, but I lost this thread, so I sending this as a new message.
>
> This is really a follow-up to a post from a couple days ago saying that
> fisher.test from the ctest library crashed on the following data set:
> > T
> [,1] [,2]
> [1,] 2 1
> [2,] 2 1
> [3,] 4 0
> [4,] 8 0
> [5,] 6 0
> [6,] 0 0
> [7,] 1 0
> [8,] 1 1
> [9,] 7 1
> [10,] 8 2
> [11,] 1 0
> [12,] 3 1
> [13,] 1 1
> [14,] 3 0
> [15,] 7 2
> [16,] 4 1
> [17,] 2 0
> [18,] 2 0
> [19,] 2 0
>
> Then Professor Ripley responded that the problem was not related to the
> Windows port (as the original author implied) but to the amount of memory
R
> was started with.
>
> I just ran some tests on this I have to report that I am getting crashes
> every time I try this problem.
> (1) On my WinNT machine I got up to
> Rgui.exe --vsize=220M --nsize=4000k
> which produces
> > gc()
> free total (Mb)
> Ncells 3857498 4000000 76.3
> Vcells 28790374 28835840 220.0
>
> and it still crashes with the "referenced memory cannot be read" message.
I
> also noticed that the error message comes immediately, no matter how large
> the
> memory allocation is. This machine is a Pentium Pro 200Mhz with 192Mb of
> memory
>
> (2) On my Linux box I can only go to about --vsize=120M --nsize=1000k.
This
> is a Pentium MMX 266Mhz with 64Mb of memory. The machine crashes
> after "thinking" for about 3 seconds. It produces segmentation
> violation error and dumps core.
>
> It seems to me that, unless I have some unlucky machines, the problem is
not
> just handling too small memory allocation ungracefully.
>
> Any comments will be appreciated,
>
> Andy
>
>
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