similar to: Runnable R packages

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.rowlingson at lancaster.ac.uk> wrote: > > > On Thu, Jan 31, 2019 at 3:14 PM David Lindelof <lindelof at ieee.org>

On Mon, 7 Jan 2019 at 22:09, Gergely Dar?czi <daroczig at rapporter.net> 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. > Of course, this requires

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 On Thu, Jan 31, 2019 at 3:56 PM David Lindelof <lindelof at ieee.org> 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 (!requireNamespace("purrr",quietly=TRUE)) install.packages("purrr")' For corporate "production use" you probably want to set up your own repository

Dear David, sharing some related (subjective) thoughts below. On Mon, Jan 7, 2019 at 9:53 PM David Lindelof <lindelof at ieee.org> 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.

On Thu, Jan 31, 2019 at 3:14 PM David Lindelof <lindelof at ieee.org> 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 just created and built a very

I see some value in Duncan?s proposal to implement this as an extra package instead of a change to base R, if only to see if the idea has legs. I?m minded to do so myself using your suggestion, but is there a particular reason why you recommend using the remotes package instead of devtools? The latter seems to have the same functions I would need, and I believe it is more widely installed that

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 `main` in that package's namespace, and call it. It's an early draft but

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 contained in itself, its not in a repo), install dependencies, and run the main()

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 I?aki; and 3) Solutions based on Rscript or littler, mentioned by Dirk. I can't speak to 1) because I don't currently use

Sounds interesting. Do you have it on GitHub or similar? Rainer > On 8 Feb 2019, at 09:09, David Lindelof <lindelof at ieee.org> 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 run > > Rscript -e

Hola a todos. Juan, por si te sirve de referencia, ésta es una página hecha con docker, docker-compose y shinyproxy: http://ifnapp.creaf.cat/ docker-compose me levanta varios containers: 1. servidor web (nginx + hugo) para la página de entrada 2. servidor postgresql, ya que la aplicación shiny necesita acceso a una base de datos 3. shinyproxy, para levantar una instancia de la shiny app

Hola, Como te comentan, shiny es la mejor opción que tienes, solo añadir que no necesitas Rstudio connect. Se puede hacer el volcado de datos con conexiones ODBC perfectamente, hay varios paquetes de R que te sirven para ello. Lo que si es cierto es que necesitarás dedicarle un tiempo a cómo utilizarlos de manera razonable, probableente tendrás que pelear un poco para configurarlos correctamente.

On Mon, 18 Feb 2019 14:08:46 +0100 Marco Gaiarin via samba <samba at lists.samba.org> wrote: > Mandi! Nick Howitt via samba > In chel di` si favelave... > > Could be that: > > > unix password sync = Yes > > Add a little delay, that ''confuse'' win10 box? > I doubt it, it is probably another artefact of the 'Windows doesn't care

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 want to prompt the user to install missing packages, it isn't necessarily difficult. It

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 <spurdle.a at gmail.com>: > 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

CRAN task views are useful, but they seem difficult to write and maintain because the XML format is rather limited (no sectioning) and the <packagelist> must be maintained manually. They are also difficult to read because the generated html and .css used are extremely basic, giving an overly dense page. Are there any markdown-like tools for writing a CTV? Is it possible to apply a

Dear R People: I'm sure that this is a very simple problem, but I have been wresting with it for some time. I have the following file that has the following one line: CRS("+init=epsg:28992") Fair enough. I scan it into R and get the following: > u [1] "CRS(\"+init=epsg:28992\")" > gsub(pattern='\"',replacement='"',x=u) [1]

Buenas Victor, Gracias por el mail. Suele pasar lod e descubrir el paquete una vez que has terminado el curro.. jejejeje Las webs estan bien, pero estaba pensando mase n webs de formularios.. No obstante, lo tomo en cuenta. Muchas gracias Jes?s ________________________________ De: V?ctor Granda Garc?a <victorgrandagarcia en gmail.com> Enviado: lunes, 22 de octubre de 2018 22:17 Para:

Por complementar lo de Carlos, ahora con docker el tema esta teniendo alternativas lowcost, pero dificiles de configurar si no eres un experto Obtener Outlook para Android<https://aka.ms/ghei36> ________________________________ From: R-help-es <r-help-es-bounces en r-project.org> on behalf of Carlos Ortega <cof en qualityexcellence.es> Sent: Wednesday, April 3, 2019 10:04:46 PM