Hi,
How to install sqldf to R with version 2.10? I used the R in the cluster of
university and there seems no way to update the R version to 2.14. However,
I do need sqldf. I tried to install and there is the problem of namespace.
How could I solve the problem of namespace and run sqldf on R with v
Hello,
regarding the copying issue,
I would like to point to the
"Writing R-Extensions" documentation.
There it is mentio9ned, that functions of extensions
that use the .C interface normally do get their arguments
pre-copied...
In section 5.2:
"There can be up to 65 further arguments givin
On Sat, Mar 17, 2012 at 9:56 AM, zhu free wrote:
> Hi,
> How to install sqldf to R with version 2.10? I used the R in the cluster of
> university and there seems no way to update the R version to 2.14. However,
> I do need sqldf. I tried to install and there is the problem of namespace.
> How coul
On 17.03.2012 17:20, Joshua Ulrich wrote:
On Sat, Mar 17, 2012 at 9:56 AM, zhu free wrote:
Hi,
How to install sqldf to R with version 2.10? I used the R in the cluster of
university and there seems no way to update the R version to 2.14. However,
I do need sqldf. I tried to install and there
On 15.03.2012 22:48, Matthew Dowle wrote:
Anyone?
Is it intended that the first suffix can no longer be blank? Seems to be
caused by a bug fix to merge in R 2.15.0.
Right, the user is now protected against confusing himself by using
names that were not unique before the merge.
Uwe Ligg
On 17/03/2012 16:25, Uwe Ligges wrote:
On 17.03.2012 17:20, Joshua Ulrich wrote:
On Sat, Mar 17, 2012 at 9:56 AM, zhu free wrote:
Hi,
How to install sqldf to R with version 2.10? I used the R in the
cluster of
university and there seems no way to update the R version to 2.14.
However,
I do ne
I've started to use the parallel package and it works very well speeding
things up. Thank you for making this easy to do.
Should I have expected that parCapply would return a vector
when parApply returns a matrix?
library(parallel)
x <- matrix(rnorm(8), nc = 2)
apply(x, 2, function(y) y)
Hello,
El 16 de març de 2012 20:34, Christophe Dutang ha escrit:
> Hi,
>
> Please look at the distribution task view
> (http://cran.r-project.org/web/views/Distributions.html) and the package
> gamlss.dist.
Thanks for the tip. There are Beta binomial functions but they don't
have the number o
On 17/03/2012 17:03, Ken Knoblauch wrote:
I've started to use the parallel package and it works very well speeding
things up. Thank you for making this easy to do.
Should I have expected that parCapply would return a vector
when parApply returns a matrix?
Maybe: I would have expected so, and A
use the gsl package for Kummer's hypergeometric and others.
you might find implementing the distributions in C or C++ worthwhile for
speed.
thanks for doing this, by the way.
On Sat, Mar 17, 2012 at 11:38 AM, Joan Maspons wrote:
> Hello,
>
>
> El 16 de març de 2012 20:34, Christophe Dutang h
Hello,
when looking at "Writing R Extensions"
with mem-allocation in mind, I wondered,
which functions to use to substitute
malloc(), calloc(), realloc() and strdup() and free().
It looked like Calloc() or R_Calloc() might be useful for
some of my tasks, but when trying to use R_Calloc() for exam
On 18 March 2012 at 03:30, oliver wrote:
| Hello,
|
| when looking at "Writing R Extensions"
| with mem-allocation in mind, I wondered,
| which functions to use to substitute
| malloc(), calloc(), realloc() and strdup() and free().
|
| It looked like Calloc() or R_Calloc() might be useful for
|
On Mar 17, 2012, at 10:30 PM, oliver wrote:
> Hello,
>
> when looking at "Writing R Extensions"
> with mem-allocation in mind, I wondered,
> which functions to use to substitute
> malloc(), calloc(), realloc() and strdup() and free().
>
> It looked like Calloc() or R_Calloc() might be useful fo
On Sat, Mar 17, 2012 at 10:08:05PM -0500, Dirk Eddelbuettel wrote:
>
> On 18 March 2012 at 03:30, oliver wrote:
> | Hello,
> |
> | when looking at "Writing R Extensions"
> | with mem-allocation in mind, I wondered,
> | which functions to use to substitute
> | malloc(), calloc(), realloc() and str
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