I've been developing a package to use S3 bucket on AWS by using libs3 code.
I have two problems. The first is, by standard, it will attempt to
install i386 and x64 if I don't have a configure.win.
The problem with this is that while everything appears to compile
correctly, I get this error when
On 6 August 2014 at 09:47, Evan Farrell wrote:
| I've been developing a package to use S3 bucket on AWS by using libs3 code.
| I have two problems. The first is, by standard, it will attempt to
| install i386 and x64 if I don't have a configure.win.
|
| The problem with this is that while every
There seems to be a result type difference when subscripting a 6 x 1
matrix as compared to a 3 x 2 matrix that is caused by the ncol = 1
compared to ncol > 1.
> ThinMatrix <- matrix(1:6,ncol=1)
> ThinMatrix
[,1]
[1,]1
[2,]2
[3,]3
[4,]4
[5,]5
[6,]6
> FatMatrix <- mat
You want `drop=FALSE`:
> dim(ThinMatrix[TRUE, , drop=FALSE])
[1] 6 1
>From ?"[":
drop: For matrices and arrays. If ‘TRUE’ the result is coerced to
the lowest possible dimension (see the examples). This only
works for extracting elements, not for the replacement. See
On Aug 6, 2014, at 10:07 AM, Terrence Ireland wrote:
> There seems to be a result type difference when subscripting a 6 x 1 matrix
> as compared to a 3 x 2 matrix that is caused by the ncol = 1 compared to ncol
> > 1.
>
> > ThinMatrix <- matrix(1:6,ncol=1)
> > ThinMatrix
> [,1]
> [1,]1
On 06/08/2014 14:47, Evan Farrell wrote:
I've been developing a package to use S3 bucket on AWS by using libs3 code.
I have two problems. The first is, by standard, it will attempt to
install i386 and x64 if I don't have a configure.win.
Or if you use --force-biarch or --merge-multiarch: see
I'm writing to ask for a policy exception, or advice on how to make
this package CRAN allowable.
http://rweb.quant.ku.edu/kran/src/contrib/portableParallelSeeds_0.9.tar.gz
Yesterday I tried to submit a package on CRAN and Dr Ripley pointed
out that I had not understood the instructions about pack
- Original Message -
> From: "John McKown"
> To: "Jerry Davison"
> Cc: r-devel@r-project.org
> Sent: Tuesday, August 5, 2014 5:10:28 PM
> Subject: Re: [Rd] More than one package document with the same name
>
> On Tue, Aug 5, 2014 at 5:47 PM, Davison, Jerry
> wrote:
> > Hi,
> >
> > I s
Why not place them in the package environment? Gabor
On Wed, Aug 6, 2014 at 2:10 PM, Paul Johnson wrote:
> I'm writing to ask for a policy exception, or advice on how to make
> this package CRAN allowable.
>
> http://rweb.quant.ku.edu/kran/src/contrib/portableParallelSeeds_0.9.tar.gz
>
> Yesterda
You can make an environment called streamsEnv in your package by adding
streamsEnv <- new.env()
to one of your R/*.R files. (its parent environment will be
namespace:yourPackage) and your functions can assign things to this
environment instead of to .GlobalEnv.
Bill Dunlap
TIBCO Software
wdunla
Hi,
(Using R 3.1.1 on Ubuntu 12.04.4 LTS)
What is the recommended way for R to fork a (non-R) process that is not CPU
limited?
Currently I am using R's system2() call, and this is inheriting the environment
of the R process.
I notice that (at least on Linux) when I am poking around /proc t
On Wed, Aug 6, 2014 at 6:01 AM, Tom Kraljevic wrote:
>
> Hi,
>
>
> (Using R 3.1.1 on Ubuntu 12.04.4 LTS)
>
>
> What is the recommended way for R to fork a (non-R) process that is not CPU
> limited?
> Currently I am using R's system2() call, and this is inheriting the
> environment of the R proce
Hi Nathaniel,
Thanks for the suggestion.
Im actually not really using R to do any real work.
Im starting the R H2O package (a Java machine learning package) and forwarding
all the work to H2O.
This is the list of packages I have in R:
> search()
[1] ".GlobalEnv""package:h2o"
On Wed, Aug 6, 2014 at 10:31 PM, Tom Kraljevic wrote:
>
> Hi Nathaniel,
>
>
>
> Thanks for the suggestion.
>
> I’m actually not really using R to do any real work.
> I’m starting the R H2O package (a Java machine learning package) and
> forwarding all the work to H2O.
>
>
>
> This is the list of p
Hi,
(Using R 3.1.1 on Ubuntu 12.04.4 LTS)
What is the recommended way for R to fork a (non-R) process that is not CPU
limited?
Currently I am using R’s system2() call, and this is inheriting the environment
of the R process.
I notice that (at least on Linux) when I am poking around /proc t
Nathaniel, that did the trick.
Thanks so much for your help.
Tom
$ export OPENBLAS_MAIN_FREE=1
$ R
$ cat /proc/1538/status | grep Cpus_allowed
Cpus_allowed:
Cpus_allowed_list: 0-31
On Aug 6, 2014, at 2:41 PM, Nathaniel Smith wrote:
> On Wed, Aug 6, 2014 at 10:31 PM, Tom K
Hi
I'm having trouble running R CMD build and check with UTC time zone
setting in Windows Server 2012. I can't seem to get rid of the following
warning:
unable to identify current timezone 'C':
please set environment variable 'TZ'
However, setting TZ to either "Europe/London" or "GMT Stan
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