Yup, that example is really helpful. Note that if you do:
the_list.attr("row.names") = IntegerVector::create(NA_INTEGER, -nrow);
it will create implicit row names from 1:nrow. The number of rows must be
negative.
THK
On Sun, Jun 8, 2014 at 8:03 PM, Dmitry Nesterov
wrote:
> Dirk,
> The exam
Dirk,
The example that you provided in the link to the Rcpp Gallery has been very
helpful.
Thank you for pointing it out, it did speed up my data frame creation code
significantly.
It allows me to use Rcpp where I used C api and keep practically the same speed
of execution.
Best, Dmitry
On Jun
On 8 June 2014 at 13:33, Christian Gunning wrote:
| Hello list, long time no see!
Indeed :)
| Dmitry,
| Have you identified any other consequences than what Romain pointed
| out? This information would be useful for the rest of us.
|
| Some key points that I agree with:
| * as per Dirk: this
Gunning wrote:
>> Subject: Re: [Rcpp-devel] Speed up of the data.frame creation in
>> DataFrame.h
>> Message-ID: <757ef798-6bc6-4150-93cd-b5f23d901...@gmail.com>
>> Content-Type: text/plain; charset=windows-1252
>>
>> The fix I was proposing ac
> Subject: Re: [Rcpp-devel] Speed up of the data.frame creation in
> DataFrame.h
> Message-ID: <757ef798-6bc6-4150-93cd-b5f23d901...@gmail.com>
> Content-Type: text/plain; charset=windows-1252
>
> The fix I was proposing actually has implications much deeper than I
The fix I was proposing actually has implications much deeper than I thought. I
would need to investigate further and will take no action at this time.
On Jun 6, 2014, at 10:47 PM, Dirk Eddelbuettel wrote:
>
> On 6 June 2014 at 22:16, Dmitry Nesterov wrote:
> | It was even simpler, I just ran
Hello,
I was merely pointing out the problem. People who maintain and contribute to
Rcpp will tell you what they expect. I am no longer one of them. So I don’t
really care either way, unless it starts adding a bug that will cause issues
for software I’m involved with that still has to depend o
Hello Romain,
maybe then another function, like force_create() could be available? Or some
checks for equal number of elements in each vector.
One of the main Rcpp advantages to the user is its flexibility and speed,
compared to the plain R code.
I am not sure at this point what solution would be
Le 7 juin 2014 à 03:27, Dmitry Nesterov a écrit :
> Hello,
> Here I report the slowness in creation of Rcpp DataFrame objects and proposed
> change to speed it up.
> For system information, here is output from sessionInfo():
> R version 3.1.0 (2014-04-10)
> Platform: x86_64-apple-darwin13.1.0 (
On 6 June 2014 at 22:16, Dmitry Nesterov wrote:
| It was even simpler, I just ran install.package(“Rcpp") in R and it pulled in
all the headers…
Which version? Was that recently?
| I have found the repo, will do the change and then the pull request,
| I assume the regression tests are done on
Dirk,
It was even simpler, I just ran install.package(“Rcpp") in R and it pulled in
all the headers…
I have found the repo, will do the change and then the pull request,
I assume the regression tests are done on your side?
Dmitry
On Jun 6, 2014, at 10:11 PM, Dirk Eddelbuettel wrote:
>
> On 6 J
On 6 June 2014 at 22:00, Dmitry Nesterov wrote:
| Where is the Rcpp git repository that I can fork? Does it have a description
of regression environment too?
It is listed in the DESCRIPTION of the package.
Which source version did you work from? Did you just use a tarball from CRAN?
Dirk
--
Dirk,
Where is the Rcpp git repository that I can fork? Does it have a description of
regression environment too?
Thanks, Dmitry
On Jun 6, 2014, at 9:58 PM, Dirk Eddelbuettel wrote:
>
> Dmitry,
>
> On 6 June 2014 at 21:41, Dmitry Nesterov wrote:
> | I would try to do that, although I only hav
Dmitry,
On 6 June 2014 at 21:41, Dmitry Nesterov wrote:
| I would try to do that, although I only have the Mac OSX 10.9.3 to work on.
The OS should not matter. Rcpp works on Linux, OS X and Windows.
| If this is ok for regression tests, then where can I get instructions on
where to fork from
Dirk,
I would try to do that, although I only have the Mac OSX 10.9.3 to work on.
If this is ok for regression tests, then where can I get instructions on where
to fork from and how to run the tests?
Best, Dmitry
On Jun 6, 2014, at 9:36 PM, Dirk Eddelbuettel wrote:
>
> Dmitry,
>
> At first g
Dmitry,
At first glance, this looks like good detective / debugging work on your end.
Now, our preferred way of getting code into Rcpp would involve you forking
the repo and submitting a pull request. The chief advantage of that approach
is that it would run all regression tests in the standard
Hello,
Here I report the slowness in creation of Rcpp DataFrame objects and proposed
change to speed it up.
For system information, here is output from sessionInfo():
R version 3.1.0 (2014-04-10)
Platform: x86_64-apple-darwin13.1.0 (64-bit)
...
other attached packages:
[1] microbenchmark_1.3-0 Rcp
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