A few people have reported success on AIX 5.2, and their experiences are
in the 'R Installation and Administration Manual'. At least one of those
people has reported success on AIX 5.3 as well. Of course, we tend only
to hear about failures.
On Thu, 14 Feb 2008, Susan R. Atlas wrote:
> Hi,
Have you set R_ENCODING_LOCALES? That's how you tell R what locale to use
for latin1 and UTF-8 when checking. Details in R-exts.texi.
As it works for me in 'C' on Leopard with R-devel without setting this, I
can't reproduce the problem to check if setting works.
For l10n_info, it is asking
I think I found the cause, but fixing it may be more complicated
(other than a hot fix for this particular case).
What it boils down to is that the code for .check_package_code_syntax
is trying to change the locale in a manner that doesn't work. In
addition to that, the output of l10n_info()
Full_Name: Roland Rau
Version: 2.6.0
OS: mingw32
Submission from: (NULL) (152.3.243.170)
There is a minor problem in the documentation of the function merge in the base
package. The corresponding file is .../src/library/base/man/merge.Rd
?merge states
[...]
all logical; all = L is shorthand for
Hill0093,
On Feb 14, 2008, at 5:43 PM, hill0093 wrote:
> PROBLEM ONE
> In my way of using R in print and plots,
> R severely ignores formatting requests for numbers.
> E.g.,
>> n1=2008021323595999
>> n1
> [1] 2.008021e+15
>> print(n1,digits=16)
> [1] 2008021323595999
>> print(n1,digits=18)
> [1]
PROBLEM ONE
In my way of using R in print and plots,
R severely ignores formatting requests for numbers.
E.g.,
> n1=2008021323595999
> n1
[1] 2.008021e+15
> print(n1,digits=16)
[1] 2008021323595999
> print(n1,digits=18)
[1] 2008021323595999
> print(n1,digits=15)
[1] 2008021323595999
The e+15 form
On 2/14/08, Susan R. Atlas <[EMAIL PROTECTED]> wrote:
> Hi,
>Last year our systems group tried to install R on an IBM
> p5-570 machine (16 nodes, 256 GB shared RAM), running AIX 5.3. They
> ran into all sorts of difficulties and finally gave up.
>I am interested in trying again (and wor
In the "R Programming Style" thread on R-help Ronald Rau gave a list
of aphorisms from "Elements of Programming Style" by Kernighan and
Plauger. These include
10.0 times 0.1 is hardly ever 1.0
I think that should be included in FAQ 7.31
__
R-devel@r-p
Hi,
Last year our systems group tried to install R on an IBM
p5-570 machine (16 nodes, 256 GB shared RAM), running AIX 5.3. They
ran into all sorts of difficulties and finally gave up.
I am interested in trying again (and working with an IBM support
group if necessary), but before embarking
On Thu, 14 Feb 2008, Simon Urbanek wrote:
On Feb 14, 2008, at 2:45 PM, Kurt Hornik wrote:
Vincent Goulet writes:
Dear developeRs,
Compilation of the latest version (0.9-5) of my actuar package fails
with r-release MacOS_X ix86 on CRAN; see
http://www.R-project.org/nosvn/R.check
On Feb 14, 2008, at 2:45 PM, Kurt Hornik wrote:
>> Vincent Goulet writes:
>
>> Dear developeRs,
>> Compilation of the latest version (0.9-5) of my actuar package fails
>> with r-release MacOS_X ix86 on CRAN; see
>
>>
>> http://www.R-project.org/nosvn/R.check/r-release-macosx-ix86/actuar
> Vincent Goulet writes:
> Dear developeRs,
> Compilation of the latest version (0.9-5) of my actuar package fails
> with r-release MacOS_X ix86 on CRAN; see
>
> http://www.R-project.org/nosvn/R.check/r-release-macosx-ix86/actuar-00check.html
> All errors come from accented letters
also, take a look at the "ff" package.
b
On Feb 14, 2008, at 11:43 AM, Greg Snow wrote:
You may want to look at the SQLiteDF package, this allows you to put
your data into an SQLite database and treat that like a normal
vector or
data frame inside of R.
Hope this helps,
--
Gregory (Greg) L
Dear Henrik
Please allow me to add also my opinion:
Databases may be the most straightforward way to expand, but in my
opinion there is a better solution, which was developed for high energy
physics, where people need to work with huge amounts of data including
very large vectors.
The solution
On Thu, Feb 14, 2008 at 8:18 AM, Duncan Murdoch <[EMAIL PROTECTED]> wrote:
> On 2/14/2008 10:54 AM, Henrik Bengtsson wrote:
> > On Thu, Feb 14, 2008 at 7:23 AM, Jeffrey Horner
> > <[EMAIL PROTECTED]> wrote:
> >> Paul Gilbert wrote on 02/14/2008 09:14 AM:
> >>
> >> >
> >> > _ wrote:
> >> >>
You may want to look at the SQLiteDF package, this allows you to put
your data into an SQLite database and treat that like a normal vector or
data frame inside of R.
Hope this helps,
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
[EMAIL PROTECTED]
(801) 408-8111
Dear developeRs,
Compilation of the latest version (0.9-5) of my actuar package fails
with r-release MacOS_X ix86 on CRAN; see
http://www.R-project.org/nosvn/R.check/r-release-macosx-ix86/actuar-00check.html
All errors come from accented letters in comments in latin-1 encoded
files
On 2/14/2008 10:54 AM, Henrik Bengtsson wrote:
> On Thu, Feb 14, 2008 at 7:23 AM, Jeffrey Horner
> <[EMAIL PROTECTED]> wrote:
>> Paul Gilbert wrote on 02/14/2008 09:14 AM:
>>
>> >
>> > _ wrote:
>> >> Hi all,
>> >> Using big vectors (more than 4GB) is unfortunately not possible under
>> >> Windo
On Thu, Feb 14, 2008 at 07:54:38AM -0800, Henrik Bengtsson wrote:
> On Thu, Feb 14, 2008 at 7:23 AM, Jeffrey Horner
> <[EMAIL PROTECTED]> wrote:
> > Paul Gilbert wrote on 02/14/2008 09:14 AM:
> >
> > >
> > > _ wrote:
> > >> Hi all,
> > >> Using big vectors (more than 4GB) is unfortunately not po
On Thu, Feb 14, 2008 at 7:23 AM, Jeffrey Horner
<[EMAIL PROTECTED]> wrote:
> Paul Gilbert wrote on 02/14/2008 09:14 AM:
>
> >
> > _ wrote:
> >> Hi all,
> >> Using big vectors (more than 4GB) is unfortunately not possible under
> >> Windows or other OS's if not enough RAM exists.
> >
> > This
On Feb 14, 2008, at 6:32 AM, _ wrote:
> Hi all,
> Using big vectors (more than 4GB) is unfortunately not possible under
> Windows or other OS's if not enough RAM exists.
> Could it be possible to implement an a new data type in R, like a
> vector, but instead holding the information in memory, th
Paul Gilbert wrote on 02/14/2008 09:14 AM:
>
> _ wrote:
>> Hi all,
>> Using big vectors (more than 4GB) is unfortunately not possible under
>> Windows or other OS's if not enough RAM exists.
>
> This is NOT true. It is not limited by RAM, but rather by RAM and swap
> space. With 500G hard disk
_ wrote:
> Hi all,
> Using big vectors (more than 4GB) is unfortunately not possible under
> Windows or other OS's if not enough RAM exists.
This is NOT true. It is not limited by RAM, but rather by RAM and swap
space. With 500G hard disks at about $100, the more serious limitation
is a 32bi
I found the following slightly surprising and thought that it might
(eventually) be useful to someone to document it:
Problem: I wanted to reorder the columns of the matrix produced
by combn(n,p) so that adjacent columns only differed by one element.
I assumed that this was a problem known to t
Hi all,
Using big vectors (more than 4GB) is unfortunately not possible under
Windows or other OS's if not enough RAM exists.
Could it be possible to implement an a new data type in R, like a
vector, but instead holding the information in memory, the data lies on
an file. If data is accessed, th
Full_Name: Hans Dieter
Version: 2.6.1
OS: Windows
Submission from: (NULL) (217.93.95.129)
Hi,
I build a GUI with RGtk2 and used an GtkImage to display pictures like jpegs and
others. This works but if I load a gif-Image it's not animated. It show's only
the first picture, in general an GtkImage c
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