David Winsemius dwinsem...@comcast.net
on Tue, 6 Sep 2011 00:38:13 -0400 writes:
I can reproduce:
eigen(crossprod(matrix(1:2000, 50)) + (0+0i), T, T)
*** caught segfault ***
address 0x102d0e028, cause 'memory not mapped'
Traceback:
1: .Call(La_rs_cmplx, x,
On Sep 8, 2011, at 10:01 , Martin Maechler wrote:
David Winsemius dwinsem...@comcast.net
on Tue, 6 Sep 2011 00:38:13 -0400 writes:
I can reproduce:
eigen(crossprod(matrix(1:2000, 50)) + (0+0i), T, T)
*** caught segfault ***
address 0x102d0e028, cause 'memory not mapped'
On Sep 8, 2011, at 4:01 AM, Martin Maechler wrote:
David Winsemius dwinsem...@comcast.net
on Tue, 6 Sep 2011 00:38:13 -0400 writes:
I can reproduce:
eigen(crossprod(matrix(1:2000, 50)) + (0+0i), T, T)
*** caught segfault ***
address 0x102d0e028, cause 'memory not mapped'
Simon Urbanek simon.urba...@r-project.org
on Thu, 8 Sep 2011 09:33:23 -0400 writes:
On Sep 8, 2011, at 4:01 AM, Martin Maechler wrote:
David Winsemius dwinsem...@comcast.net
on Tue, 6 Sep 2011 00:38:13 -0400 writes:
I can reproduce:
On Thu, 8 Sep 2011, Martin Maechler wrote:
Simon Urbanek simon.urba...@r-project.org
on Thu, 8 Sep 2011 09:33:23 -0400 writes:
On Sep 8, 2011, at 4:01 AM, Martin Maechler wrote:
David Winsemius dwinsem...@comcast.net
on Tue, 6 Sep 2011 00:38:13 -0400 writes:
I can
It is intermittent on both my systems.
Rob
On Sep 8, 2011, at 8:00 AM, luke-tier...@uiowa.edu wrote:
On Thu, 8 Sep 2011, Martin Maechler wrote:
Simon Urbanek simon.urba...@r-project.org
on Thu, 8 Sep 2011 09:33:23 -0400 writes:
On Sep 8, 2011, at 4:01 AM, Martin Maechler
Hi,
Essentially: subject line says it all.
I've created a package that wraps an external c++ library (which I
didn't write) that only successfully compiles on 64bit machines.
I'd like to make the package broadly available, but is there a way to
get it on CRAN if the 32-bit builds break by
Quick follow up before I get RTFM'd:
I just found I can do:
R CMD INSTALL --no-multiarch mypackage
To get this to successfully work from the command line, so apologies
for the second part of the question.
The first Q remains, which is to either get this to happen
automagically via Makevars, or
On Sep 8, 2011, at 3:59 PM, Steve Lianoglou wrote:
Hi,
Essentially: subject line says it all.
I've created a package that wraps an external c++ library (which I didn't
write) that only successfully compiles on 64bit machines.
That doesn't sound right, it contradicts your subject line
What is the rationale for nobs.lm omitting observations with
zero weights while nobs.glm includes them?
df - data.frame(x1=log(1:10), x2=1/(1:10), y=1:10,
wt=c(0,2,0,4,0,6,7,8,9,10))
nobs(lm(data=df, y~x1+x2, weights=wt))
[1] 7
nobs(glm(data=df, y~x1+x2, weights=wt))
[1] 10
The anova
Hi Simon,
Thanks for the quick response.
Comments in line:
On Thu, Sep 8, 2011 at 4:11 PM, Simon Urbanek
simon.urba...@r-project.org wrote:
On Sep 8, 2011, at 3:59 PM, Steve Lianoglou wrote:
Hi,
Essentially: subject line says it all.
I've created a package that wraps an external c++
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