If you read my bug report, I just ran the same thing on both regular
mode and debug mode. That is why I think it is related with R base,
though there might be some other bugs related with glmulti or rJava.
Peng
On 08/10/2012 04:03 PM, peter dalgaard wrote:
> On Aug 10, 2012, at 21:23 , Zhang, P
Ok. I will stop here. I have just created a bug report.
https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=15013
If anyone is interested, please see if you can reproduce it.
Thanks,
Peng
On 08/10/2012 03:04 PM, peter dalgaard wrote:
> Not to spoil your fun, but this is getting a bit off-topic
On Aug 10, 2012, at 21:23 , Zhang, Peng wrote:
> Ok. I will stop here. I have just created a bug report.
>
> https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=15013
...which is exactly what you should NOT do, if the bug is likely to live in a
contributed package!!
-pd
>
> If anyone is i
Not to spoil your fun, but this is getting a bit off-topic for R-help. If you
wish to continue the debugging process in public, I think you should move to
R-devel.
Also, it sounds like the problem is in the glmulti package, so you might want
to involve its maintainer at some point.
-pd
On A
Thanks! It is interesting that Windows has pointed the problem to Java.
So it is probable that how I did my debug led me to the wrong direction.
Since I was unsure how to debug S4 class, I copied the source implement
R function from glmulti package into my testing program.
The segmentation faul
On 2012-08-10 15:42, Zhang, Peng wrote:
You are right. I am running Arch Linux. However, I obtained a
segmentation directly, so didn't know where to find the bug??
> library("glmulti")
Loading required package: rJava
> testdata = cbind(Y=rnorm(100), data.frame(matrix(rnorm(100*50), ncol
=
You are right. I am running Arch Linux. However, I obtained a
segmentation directly, so didn't know where to find the bug??
> library("glmulti")
Loading required package: rJava
> testdata = cbind(Y=rnorm(100), data.frame(matrix(rnorm(100*50), ncol
= 50)))
> glmulti(Y~(X1+X2+X3+X4+X5+X6+X7+X8
On 2012-08-10 06:10, Zhang, Peng wrote:
Thanks to both for your reply.
library(glmulti)
testdata = cbind(Y=rnorm(100), data.frame(matrix(rnorm(100*50), ncol = 50)))
glmulti(Y~(X1+X2+X3+X4+X5+X6+X7+X8+X9+X10+X11+X12+X13+X14+X15)*X16, data
= testdata, level = 2)
This is reproducible to get a seg
Thanks to both for your reply.
library(glmulti)
testdata = cbind(Y=rnorm(100), data.frame(matrix(rnorm(100*50), ncol = 50)))
glmulti(Y~(X1+X2+X3+X4+X5+X6+X7+X8+X9+X10+X11+X12+X13+X14+X15)*X16, data
= testdata, level = 2)
This is reproducible to get a segmentation fault. But I have troubles to
e
On Aug 9, 2012, at 9:14 PM, David Winsemius wrote:
>
> On Aug 9, 2012, at 4:56 PM, Zhang, Peng wrote:
>
>> Dear all,
>>
>> I had a R segmentation fault, and then invoked debug mode and ran step
>> by step.
>
>
>> 2. Why does the same function behave differently under debug and regular
>> m
On Aug 9, 2012, at 4:56 PM, Zhang, Peng wrote:
Dear all,
I had a R segmentation fault, and then invoked debug mode and ran step
by step.
When I reached "terms(Y~X1*X2*...*X16)", I would then have
"segmentation" fault. However, if I just ran this under regular "R
interactive" mode, it would be
Dear all,
I had a R segmentation fault, and then invoked debug mode and ran step
by step.
When I reached "terms(Y~X1*X2*...*X16)", I would then have
"segmentation" fault. However, if I just ran this under regular "R
interactive" mode, it would be fine though taking long time.
My questions are
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