I'm having problems getting R CMD check to work correctly on Windows 7 (64 bit)
in a package that uses C code. What I want to do is to be able to pass the
equivalent of the "--force-biarch" option to check, but this is only supported
for INSTALL.
Background:
I'm writing a package (RNetica) whi
Seeking confirmation/disconfirmation that R 64bit for Windows will run on
Windows 2012 server running Microsoft’s Hyper-V 2012 server virtualization
software and advice on building this on AMD 16 core or Intel 8 core processors
where we want to put up a 64 core VM. We have not built this yet, we
A couple of years ago (in 2008, using R 2.7.x, I believe) I noted that
using the configure switch --enable-R-shlib when buildig R made
configure ignore any specified external LAPACK library and use the
internal one insted. I asked why, and was told it was intentional.
Now, with R 2.15.1, I see tha
> William Dunlap
> on Thu, 11 Oct 2012 18:59:52 + writes:
> Should simplify2array(higher=TRUE) treat 1 by 1 matrices differently than
others?
> I expected a 3-dimensional array from all of the following 3 examples,
not just the last 2.
>> str(simplify2array(list(arr
On Thu, 2012-10-18 at 10:18 -0500, Dirk Eddelbuettel wrote:
> Kasper,
>
> On 18 October 2012 at 10:41, Kasper Daniel Hansen wrote:
> | I set my user libraries in .Rprofile for this very reason. I agree it
> | is weird that .Renviron is not always read etc.
>
> Sorry, no cigar either -- this equi
On 19 October 2012 at 12:39, Gavin Simpson wrote:
| On Thu, 2012-10-18 at 10:18 -0500, Dirk Eddelbuettel wrote:
| > Kasper,
| >
| > On 18 October 2012 at 10:41, Kasper Daniel Hansen wrote:
| > | I set my user libraries in .Rprofile for this very reason. I agree it
| > | is weird that .Renviron i
On Oct 18, 2012, at 12:17 PM, Russell G. Almond wrote:
> I'm having problems getting R CMD check to work correctly on Windows 7 (64
> bit) in a package that uses C code. What I want to do is to be able to pass
> the equivalent of the "--force-biarch" option to check, but this is only
> suppor
On 19/10/2012 15:00, Simon Urbanek wrote:
On Oct 18, 2012, at 12:17 PM, Russell G. Almond wrote:
I'm having problems getting R CMD check to work correctly on Windows 7 (64 bit) in a
package that uses C code. What I want to do is to be able to pass the equivalent of the
"--force-biarch" opti
On 19.10.2012 01:24, Matthew Schall wrote:
Seeking confirmation/disconfirmation that R 64bit for Windows will run on
Windows 2012 server running Microsoft’s Hyper-V 2012 server virtualization
software and advice on building this on AMD 16 core or Intel 8 core processors
where we want to put
Thanks for letting me know.
Currently the ./2.16 Window binary tree on CRAN is still a link to
./2.15. We will work to get binaries up within a week.
Uwe Ligges
On 19.10.2012 07:52, Hervé Pagès wrote:
Hi,
Here is a problem we see with the Mac and Windows binaries of
rJava (0.9-3) current
I have a suggested addition to termplot.
We have a local mod that is used whenever none of the termplot options is quite right. It
is used here almost daily for Cox models in order to put the y axis on a risk scale:
fit <- coxph(Surv(time, status) ~ ph.ecog + pspline(age), data=lung)
zz <
On 19/10/2012 18:15, Terry Therneau wrote:
I have a suggested addition to termplot.
We have a local mod that is used whenever none of the termplot options
is quite right. It is used here almost daily for Cox models in order to
put the y axis on a risk scale:
fit <- coxph(Surv(time, status)
Dirk,
if you ask R to
R CMD check foo_1.2-3.tar.gz
and the output is
"no package called 'foo'"
then something went wrong with your setup or your package.
Can we have details?
Best,
Uwe
On 19.10.2012 15:21, Dirk Eddelbuettel wrote:
On 19 October 2012 at 12:39, Gavin Simpson wrote:
| O
Hi,
I mentioned this at useR! 2012 but I guess the relevant R core members
were not there (presumably Fritz, Duncan and Brian), so I'm making
this wishlist again:
Currently package vignettes have to be processed through Sweave, which
is too restrictive since several add-on packages aiming to impr
is it possible to set an option inside a function ((I want to set
na.action = na.fail) and have the previous state restored if there is
an error so that the function doesn't change the option behind the
user's back?
Sorry if this has been answered before, but this subject is hard to Google.
--
Ch
Hi Uwe,
On 19 October 2012 at 19:25, Uwe Ligges wrote:
| Dirk,
|
| if you ask R to
|
| R CMD check foo_1.2-3.tar.gz
|
|
| and the output is
|
| "no package called 'foo'"
|
| then something went wrong with your setup or your package.
That is not what I said, or tried to say. My issue is tha
old_options <- options(na.action=na.fail)
on.exit(options(old_options))
You can also use this to define a wrapper that executes an expression
using special options
withOptions<-function(optlist,expr){
oldopt<-options(optlist)
on.exit(options(oldopt))
expr<-substitute(expr)
On 10/19/2012 10:02 AM, Uwe Ligges wrote:
Thanks for letting me know.
Currently the ./2.16 Window binary tree on CRAN is still a link to
./2.15. We will work to get binaries up within a week.
Sounds good. Thanks! H.
Uwe Ligges
On 19.10.2012 07:52, Hervé Pagès wrote:
Hi,
Here is a pro
Hi,
Looks like the implementation of random number generation changed in
R-devel with respect to R-2.15.1.
With R-2.15.1:
> set.seed(33)
> sample(49821115, 10)
[1] 22217252 19661919 24099911 45779422 42043111 25774933 21778053
17098516
[9] 773073 5878451
With recent R-devel:
Hi Charley,
You can use the idiom
oldNaAction <- options(na.action=na.fail)
on.exit(options(oldNaAction))
or the slightly safer (protected again an interrupt
between the first two lines or an error calling options
to set them)
oldNaAction <- getOption("na.action")
on.exit(options(oldNa
That was easy. Thanks. That will fix a problem a lot of users are having
with the aster package. If users have NA's in their data, then they almost
certainly don't know what they are doing (with aster).
On Fri, Oct 19, 2012 at 5:10 PM, Thomas Lumley wrote:
> old_options <- options(na.action=n
On 12-10-19 7:04 PM, Hervé Pagès wrote:
Hi,
Looks like the implementation of random number generation changed in
R-devel with respect to R-2.15.1.
With R-2.15.1:
> set.seed(33)
> sample(49821115, 10)
[1] 22217252 19661919 24099911 45779422 42043111 25774933 21778053
17098516
jcharlto,
Thank you thank you thank you, you just saved me about 7.9 hours!
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