Hello, that appears to have fixed it. Thank you very much.
I can now repeat the reported workflow and the image appears on the
fifth (and subsequent) calls.
Cheers, Mike.
sessionInfo()
R version 2.13.0 Under development (unstable) (2011-02-11 r54330)
Platform: x86_64-pc-mingw32/x64 (64-bit)
lo
On Feb 11, 2011, at 8:46 PM, Simon Urbanek wrote:
On Feb 11, 2011, at 8:45 PM, Simon Urbanek wrote:
On Feb 11, 2011, at 7:55 PM, David Winsemius wrote:
On Feb 11, 2011, at 7:09 PM, Dominick Samperi wrote:
Is there documentation on R limits?
That is, max matrix size, etc.?
Diagnostics
On Feb 11, 2011, at 8:45 PM, Simon Urbanek wrote:
>
> On Feb 11, 2011, at 7:55 PM, David Winsemius wrote:
>
>>
>> On Feb 11, 2011, at 7:09 PM, Dominick Samperi wrote:
>>
>>> Is there documentation on R limits?
>>> That is, max matrix size, etc.?
>>>
>>> Diagnostics when limits are exceeded a
On Feb 11, 2011, at 7:55 PM, David Winsemius wrote:
>
> On Feb 11, 2011, at 7:09 PM, Dominick Samperi wrote:
>
>> Is there documentation on R limits?
>> That is, max matrix size, etc.?
>>
>> Diagnostics when limits are exceeded are not always
>> meaningful. For example:
>>> x <- rep(0,5*50
On Feb 11, 2011, at 7:09 PM, Dominick Samperi wrote:
Is there documentation on R limits?
That is, max matrix size, etc.?
Diagnostics when limits are exceeded are not always
meaningful. For example:
x <- rep(0,5*5)
Error in rep(0, 5 * 5) : invalid 'times' argument
In addition:
Is there documentation on R limits?
That is, max matrix size, etc.?
Diagnostics when limits are exceeded are not always
meaningful. For example:
> x <- rep(0,5*5)
Error in rep(0, 5 * 5) : invalid 'times' argument
In addition: Warning message:
In as.vector(data) : NAs introduced by
Ah thanks, that did fix it.
Ryan King
On Fri, Feb 11, 2011 at 3:53 PM, Simon Urbanek
wrote:
> Ryan,
>
> On Feb 11, 2011, at 4:29 PM, Ryan King wrote:
>
>> Hello list,
>> I've been working on a package of my own. It works fine on the 32bit
>> linux machines that I've tested it on. Someone using
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Hash: SHA1
On 02/11/2011 03:37 PM, Laurent Gatto wrote:
> On 11 February 2011 19:39, Ben Bolker wrote:
>>
> [snip]
>>
>> What is dangerous/confusing is that R silently **wraps** longer lines if
>> fill=TRUE (which is the default for read.csv). I encountered thi
Ryan,
On Feb 11, 2011, at 4:29 PM, Ryan King wrote:
> Hello list,
> I've been working on a package of my own. It works fine on the 32bit
> linux machines that I've tested it on. Someone using 64bit ubuntu
> wanted to try it, and surprising segfaults happened. My test code
> results in no segfa
Hello list,
I've been working on a package of my own. It works fine on the 32bit
linux machines that I've tested it on. Someone using 64bit ubuntu
wanted to try it, and surprising segfaults happened. My test code
results in no segfault, errors, or leaks from my calls when run under
valgrind (I r
On 11 February 2011 19:39, Ben Bolker wrote:
>
[snip]
>
> What is dangerous/confusing is that R silently **wraps** longer lines if
> fill=TRUE (which is the default for read.csv). I encountered this when
> working with a colleague on a long, messy CSV file that had some phantom
> extra fields in
On 2/11/11 1:39 PM, "Ben Bolker" wrote:
>[snip]
> Original Message
>Subject: read.csv trap
>Date: Fri, 04 Feb 2011 11:16:36 -0500
>From: Ben Bolker
>To: r-de...@stat.math.ethz.ch , David Earn
>
>
>[snip]
>What is dangerous/confusing is that R silently **wraps** longer lines i
Bump.
It's been a week since I posted this to r-devel. Any
thoughts/discussion? Would R-core be irritated if I submitted a bug report?
cheers
Ben
Original Message
Subject: read.csv trap
Date: Fri, 04 Feb 2011 11:16:36 -0500
From: Ben Bolker
To: r-de...@stat.math.
On Feb 11, 2011, at 19:25 , Kino Aguilar wrote:
> Hi,
>
> I am currently doing logistic regression analyses and I am trying to get
> confidence intervals for my partial logistic regression coefficients.
> Supposing I am right in assuming that the formula to estimate a 95% CI for a
> log odds coe
Dear Kino,
The confidence intervals that you've computed yourself are based on the Wald
statistic, while confint() computes confidence intervals based on the
likelihood-ratio statistic, by profiling the likelihood (see ?confint and
click on the link for confint.glm). Basing confidence intervals on
Hi,
I am currently doing logistic regression analyses and I am trying to get
confidence intervals for my partial logistic regression coefficients.
Supposing I am right in assuming that the formula to estimate a 95% CI for a
log odds coefficient is the following:
log odds - 1.96*SE to log odds + 1
We have a 4-week alpha/beta/RC period every 6 months for testing
before a 2.x.0 release. This is announced here, and we get very
little response. I expect the testing window for R 2.13.0 to be
Mar-Apr.
That said, we do quite extensive testing on the main platforms (ix86
and x86_64 Linux, i3
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