I'm not sure whether GCC is in Rtools or not.
I will check on Monday.
However, that's not the main point.
In Rtools, there's nothing like the following:
R CMD Rpkg2exe -o my_r_application.exe my_r_package
or
R CMD Rpkg2exe -o my_r_application.exe my_r_package_0.1.0.tar.gz
Which would convert a
Sure, you can find it here:
https://github.com/dlindelof/run
On Fri, Feb 8, 2019 at 9:41 AM Rainer M Krug wrote:
> Sounds interesting. Do you have it on GitHub or similar?
>
> Rainer
>
> On 8 Feb 2019, at 09:09, David Lindelof wrote:
>
> Yesterday I wrote and submitted to CRAN a package `run`
Sounds interesting. Do you have it on GitHub or similar?
Rainer
> On 8 Feb 2019, at 09:09, David Lindelof wrote:
>
> Yesterday I wrote and submitted to CRAN a package `run`, which implements
> the ideas discussed in this thread. Given a package tarball
> foo_0.1.0.tar.gz, users will be able to
Yesterday I wrote and submitted to CRAN a package `run`, which implements
the ideas discussed in this thread. Given a package tarball
foo_0.1.0.tar.gz, users will be able to run
Rscript -e "run::run('foo_0.1.0.tar.gz')"
which will pull all the dependencies of package `foo`, lookup a function
`mai
Doesn't Rtools provide everything needed to build R packages and R on
Windows - including gcc?
Am Sa., 2. Feb. 2019 um 22:29 Uhr schrieb Abs Spurdle :
> Creating an .exe file isn't necessarily difficult.
> The main problems are that you have to write and compile the C (or other)
> files.
> Otherw
Creating an .exe file isn't necessarily difficult.
The main problems are that you have to write and compile the C (or other)
files.
Otherwise, the complexity depends on the level of Inter Process
Communication that's required.
Simply starting R with some initial conditions, is easy.
Even if you wa
e widely installed that remotes?
>
> Kind regards,
>
> From: Duncan Murdoch
> Reply: Duncan Murdoch
> Date: 2 February 2019 at 15:37:16
> To: Barry Rowlingson
> , Abs Spurdle
>
> Cc: r-devel
> Subject: Re: [Rd] Runnable R packages
>
> On 02/02
latter seems to have the same functions I would need, and I believe it is
more widely installed that remotes?
Kind regards,
From: Duncan Murdoch
Reply: Duncan Murdoch
Date: 2 February 2019 at 15:37:16
To: Barry Rowlingson
, Abs Spurdle
Cc: r-devel
Subject: Re: [Rd] Runnable R packages
On
On 02/02/2019 8:27 a.m., Barry Rowlingson wrote:
I don't think anyone denies that you *could* make an EXE to do all
that. The discussion is on *how easy* it should be to create a single
file that contains an initial "main" function plus a set of bundled
code (potentially as a package) and which w
I don't think anyone denies that you *could* make an EXE to do all
that. The discussion is on *how easy* it should be to create a single
file that contains an initial "main" function plus a set of bundled
code (potentially as a package) and which when run will install its
package code (which is con
Further to my previous post,
it would be possible to create an .exe file, say:
my_r_application.exe
That starts R, loads your R package(s), calls the R function of your choice
and does whatever else you want.
However, I don't think that it would add much value.
But feel free to correct me if you
This is possibly the most redundant discussion I've ever seen on the R
mailing lists.
In the original post:
> 2) It provides no way to deal with dependencies on other packages
> 3) It provides no way to "run" an application provided as an R package
Both completely false statements.
> recently b
On 1 February 2019 at 13:31, William Dunlap via R-devel wrote:
| To download a package with all its dependencies and install it, use the
| install.packages() functions instead of 'R CMD INSTALL'. E.g., in bash:
|
| mkdir /tmp/libJunk
| env R_LIBS_SITE=libJunk R --quiet -e 'if
| (!requireNamespa
To download a package with all its dependencies and install it, use the
install.packages() functions instead of 'R CMD INSTALL'. E.g., in bash:
mkdir /tmp/libJunk
env R_LIBS_SITE=libJunk R --quiet -e 'if
(!requireNamespace("purrr",quietly=TRUE)) install.packages("purrr")'
For corporate "producti
Ummm oops. Magic pixies? It assumed all of CRAN was installed?
Maybe I'll write something that could go in /usr/lib/R/bin/RUN that
checks and gets deps, installs the package, and runs package::main,
which I think is what the OP wants - you could do R CMD RUN
foo_1.0.0.tar.gz and away it goes...
B
@Barry I'm not sure your proposal would work, since `R CMD INSTALL` won't
install a package's dependencies. Indeed it will fail with an error unless
all the dependencies are met before calling it.
Speaking of which, why doesn't R CMD INSTALL install a package's
dependencies? Would it make sense to
Would you care to share how your package installs its own dependencies? I
assume this is done during the call to `main()`? (Last time I checked, R
CMD INSTALL would not install a package's dependencies...)
On Thu, Jan 31, 2019 at 4:38 PM Barry Rowlingson <
b.rowling...@lancaster.ac.uk> wrote:
>
Quoting:
"In summary, I'm convinced R would benefit from something similar to Java's
`Main-Class` header or Python's `__main__()` function. A new R CMD command
would take a package, install its dependencies, and run its "main"
function."
This kind of increase the scope of your idea. New command i
On Thu, Jan 31, 2019 at 3:14 PM David Lindelof wrote:
>
> In summary, I'm convinced R would benefit from something similar to Java's
> `Main-Class` header or Python's `__main__()` function. A new R CMD command
> would take a package, install its dependencies, and run its "main"
> function.
I j
On 31/01/2019 9:32 a.m., David Lindelof wrote:
Belated thanks to all who replied to my initial query. In summary, three
approaches have been mentioned to run R code "in production": 1)
ShinyProxy, mentioned by Tobias, for deploying Shiny applications; 2)
Docker-like solutions, mentioned by Gergel
Belated thanks to all who replied to my initial query. In summary, three
approaches have been mentioned to run R code "in production": 1)
ShinyProxy, mentioned by Tobias, for deploying Shiny applications; 2)
Docker-like solutions, mentioned by Gergely and Iñaki; and 3) Solutions
based on Rscript or
On Mon, 7 Jan 2019 at 22:09, Gergely Daróczi wrote:
>
> Dear David, sharing some related (subjective) thoughts below.
>
> You can provide your app as a Docker image, so that the end-user
> simply calls a "docker pull" and then "docker run" -- that can be done
> from a user-friendly script as well.
On 7 January 2019 at 22:09, Gergely Daróczi wrote:
| You can provide your app as a Docker image, so that the end-user
| simply calls a "docker pull" and then "docker run" -- that can be done
| from a user-friendly script as well.
| Of course, this requires Docker to be installed, but if that's a
Some other major tech companies have in the past widely use Runnable R
Archives (".Rar" files), similar to Python .par files [1], and integrate
them completely into the proprietary R package build system in use there.
I thought there were a few systems like this that had made their way to
CRAN or t
On 3 January 2019 at 11:43, David Lindelof wrote:
| Dear all,
|
| I’m working as a data scientist in a major tech company. I have been using
| R for almost 20 years now and there’s one issue that’s been bugging me of
| late. I apologize in advance if this has been discussed before.
|
| R has tr
Dear David, sharing some related (subjective) thoughts below.
On Mon, Jan 7, 2019 at 9:53 PM David Lindelof wrote:
>
> Dear all,
>
> I’m working as a data scientist in a major tech company. I have been using
> R for almost 20 years now and there’s one issue that’s been bugging me of
> late. I apo
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