I have an RShiny based application developed on Windows 10 using R (4.0.4), RStudio and RShiny. I want to share this application with my colleagues (who also use Windows 10) for them to use but they don't have R or RStudio installed. I want them to be able to use this app without installing R and RStudio since we don't have admin rights on our laptops and getting them requires raising tickets. One possible option would be to host the app on a server and use shiny-server, then share the link to the app. But we don't have a server budget currently.
My primary question is, if there is a way to share the app with my colleagues without them having to go through the hassle of installing R and RStudio.
From my preliminary research, I have found that Dockers (or Rockers by RStudio Inc.) can be used to achieve this by making the app into a "docker image" (whatever this means!). But all the articles I found were about dockerising the RShiny app for Linux based systems and servers. Hence, my secondary question is, if anybody knows this Docker/Rocker can be used on Windows based systems to help me in my scenario explained in first paragraph.
Related
I've some shiny app and I want to execute and to make it standalone application (it will be awesome if it will open via chrome).
I can't upload the app to the Net and I want that also co-workers without R studio or R
will use this app.
because of the security company - I can't download any software except R packages.
I saw here a few solution, but all of them included any software download.
I have done some research on this issue. The commenters are basically correct: you need the R binaries in some way, either a portable R or an R server. But there are solutions that allow it to bundle those with your code and hide the details from your users.
On option is to wrap your app along with
a portable R into a container application like Electron. The electron-quick-start project tries this.
The RInno package provides functions to bundle your app and R portable into an installer app. Every user runs the installer on their system once which will install your app, the packages and the code. But in the end users may not see the difference to other apps. They get a link in the start menu and that's it. I did that successfully. But it did not work out of the box. I had to adjust the output manually in several places.
A second container solution works with docker. That is what ShinyProxy does. See also this blog.
The package shinyShortcut (I quote) "will produce an executable file that runs the shiny app directly in the user's default browser".
Important to note: I haven't tested most of them. From reviewing the solutions I often get the feeling that these solutions might make releases somewhat complicated because there are always manual steps involved.
I have updated my windows and R cannot run, and hence neither can R studio. When I run R GUI it just freezes and is unresponsive. I have allowed chromium exemption to the firewall
I am on Windows Insider program and has just updated to
Windows 10 Home, Insider Preview
Evaluation Copy.Build 20190.rs_prerelease.200807-1609
Note that R GUI freezes and then shuts down on its own, so maybe the problem is R GUI and not R Studio.
I get the following errors on R studio.
This site can’t be reached
127.0.0.1 refused to connect.
Try:
Checking the connection
Checking the proxy and the firewall
ERR_CONNECTION_REFUSED
Cannot Connect to R
RStudio can't establish a connection to R. This usually indicates one of the following:
The R session is taking an unusually long time to start, perhaps because of slow operations in startup scripts or slow network drive access.
RStudio is unable to communicate with R over a local network port, possibly because of firewall restrictions or anti-virus software.
Please try the following:
If you've customized R session creation by creating an R profile (e.g. located at ~/.Rprofile), consider temporarily removing it.
If you are using a firewall or antivirus software which guards access to local network ports, add an exclusion for the RStudio and rsession executables.
Run RGui, R.app, or R in a terminal to ensure that R itself starts up correctly.
Further troubleshooting help can be found on our website:
Troubleshooting RStudio Startup
This has been fixed with Windows 10 Insider Preview Build 20201 (released on August 26, 2020 in the Dev channel).The previous two builds were missing 64-bit APIs required by the prebuilt version of R.
Same issue.
Rollback to the previous version solves the problem.
I think it is about the update of the graphic features of Windows.
Here is what Microsoft said in the build 20190 changelog:
Improved Graphics Settings experience
While this isn’t a new feature all together, we have made significant changes based on customer feedback that will benefit our customers’ Graphics Settings experience. We have made the following improvements:
We’ve updated the Graphics Settings to allow users to specify a default high performance GPU.
We’ve updated the Graphics Settings to allow users to pick a specific GPU on a per application basis.
I wrote a Shiny app, and now I need to turn it into a Stand-Alone Program. The reasoning behind this is that I need to share the app but can't do this with shinyapps.io or a server as I need the app to be able to access user's folders.
So far, I found these 2 tutorials: deploying-desktop-apps and packaging-your-shiny-app. Both of them (supposedly) work on Windows, but I have a Mac, and I want to app to be available for users of all systems, or at least Mac and Linux. Any thoughts and suggestions would be appreciated!
I actually tried to follow the tutorial mentioned above, and can't even install R-portable for my Mac. So I'm looking for something different.
Running a Virtual Machine to follow Windows tutorial is an option, but in this case, the app will be Windows-specific, and I don't want this.
This thread is really old I know, but I'm also trying to find answers on creating a standalone version of R for Mac.
This would support for
https://github.com/chasemc/electricShine
which supports Windows
I am working on an Shiny app in R. My goal is to put in on a server, not on my local pc.
EDIT: my goal is not to publish it on the web, but only make it run on the server locally.
I have installed R on the server, added all the libraries I need, lastly I tried to launch my app that it is quite long, the schema is more or less this:
data preprocessing (with RODBC)
some custom functions
server<- etc.
ui<- etc.
shinyapp(server,ui)
Well in my local pc everything is fine, but on the server I cannot have a result, it is impossible to reach the address.
I decided to do something like this, create the two files called server and ui, and launching them with:
runApp(".../shiny")
Having the idea to use the option of runApp.
Well it is arriving this
ERROR: Error sourcing C:\Users\...\AppData\Local\Temp\Rtmp8YeSOV\file22281c0c2f6d
First of all, this procedure is going to help me?
If so, could you tell me what that error mean?
Thanks in advance.
I'm not sure, but I think it's not possible to reach a shiny app running in a local computer (or server). For that purpose you can use the Shiny Sever, which allow you to put your Shiny apps accessible online.
It seems that your server is a Windows computer, so your options are:
Build Shiny Server from its source code, (maybe a little difficult).
Use a virtual machine like VMware Player (free for non-commercial use) and install Ubuntu or other Linux distribution to use the pre-built binary of Shiny Server. With this option you can restrict the access to only your local network and maybe faster access to your DB's.
Use a DigitalOcean virtual server (for a very reasonable price), in this case you apps will be on the cloud and accesible everywhere.
For option 2 and 3 you can follow the very useful and well written tutorial of Dean Attali about installing and setting up a Shiny Sever. It is for DigitalOcean but is pretty much the same if you decide to use a virtual machine with Linux.
The answer is quite simple, I was using IE as browser: if you use Chrome specifying it on the runApp statement, everything works fine.
Currently, i use R studio on my desktop, with all analysis run using my desktop machine
Performance for this is really poor, so i'm getting an external server that is more powerful dedicated for R jobs
I really like the Rstudio IDE, Is there a way I can connect Rstudio on my desktop to run R on the external server?
I want to be able to use it in the same way as I use my desktop version of R, so i can view my graphs etc
RStudio Server is what you need. You can download it here:
https://www.rstudio.com/products/rstudio/download-server-2/
Install it on your external server; then from your desktop (or from any other machine!) you can connect to the server in a web browser and use RStudio inside the web browser. RStudio Server shares a great deal of code with the desktop version so the interface will be nearly identical to what you're accustomed to.
Yes, if you sign up with Amazon AWS you can use Rstudio Server and control it from your desktop pretty easily. Give this site a read and see what you can do!
http://www.louisaslett.com/RStudio_AMI/
If you have your own server at work or the university, you can install the server there and use a vm window to log in from anywhere.