Hi guys i have made a shinyApp for a client using R.
The client for whom I’m working is asking for a shinyapp that works offline preferably in the form of an application or shiny window (as the online link of shinyapp.io will put load on the server). He wants to get the shiny output without seeing the R code.
He will later handover the shinyApp to his employees (>200) and they will mostly use the offline shinyApp on their desktop (in shiny window). Furthermore the data is very confidential so the client doesn't want his employees to either get csv data or publish the app online or see R code. Because every time they would run the app, they require csv data or codes to generate output.
That's why he doesn’t want a publish button anywhere in the app so that his employees doesn’t publish the app online.
Is there any way to do so? Any suggestions would be much appreciated
Method 1
I feel this is the best way to do it. This will give you an exe setup to install on your clients' server If you find it complicated you can try the below method, but my first preference would be this one.
Method 2
The process of making your standalone app is best explained here.
You can also use this site. If you feel the first is a little ambiguous
It is very much possible, and I do it often. If you have any doubts, you can ask me. This will not show the code to your client, it will be like any other desktop/server app, although the code can be seen if the app is probed, unlike the first method.
You can put the packaged app in a server which serves the local IPs.
I think you can do it without any hassle. Just follow the instructions line by line.
Regards/Revanth Nemani
Related
I'm pretty new to using shiny apps to visualize data. We plan to host our shiny app on our own server. So for that we used docker to deploy our app. However the app is super slow to load, since we have to load a lot of (big) dataframes (up to 10000000 rows x 10 columns), that are saved within a RData object.
My first question is: Will the data be loaded each time a user visits/reloads the website?
I was looking into ways how to spead up loading the data. One possbility might be to use the feather package, which seems to be faster in loading data tables.
Another option would be to put the data into a database. However I do not have experience with that. I saw there are some nice packages like DBI and RMariaDB that seem to work well with shiny app. However, I only find examples where an exterinal database is queried. Is it possible to pack a MySQL database within the docker and access it from within the shiny app? Or is the normal procedure to host the database externally?
I'm really new to all this, so I'm not even sure if I'm asking the right questions. These are the conditions: We have a lot of data in the form of multiple data tables. Those need to be read into our app quickly and needs to be queried quickly through interactive user input. We need to dockerize our app in order to deploy it. What is the best approach here?
I created a Shiny app which is doing a long computation and therefore i am running it on a local server in my Network.
I can access the app via my computer, upload files and start the calculation. But when I close the browser and access the app via a weblink again, Shiny will start a new empty session.
How can I reconnect to the "closed" session with the hopefully still running computation and uploaded files?
It seems that it may be possible with RStudio Connect or running the app via a ShinyServer. Is there another easy way to handle it?
Reconnecting to the exact same session seems not possible. I found after a lot of research the Bookmark function, which saves your Input inside a new URL or on a Server. See references here: Link
Unfortunately, it didnt work really good because i had bigger plots and tables as saved output.
I solved the problem with a workaround. In the end of the computation i save the whole environment with save.image(file='myEnvironment.RData')
I added an actionbutton and by clicking it loads the saved environment with load('myEnvironment.RData'). After this, all files are back in the environment and new outputs can be created by e.g. output$xy <- renderPlot({XY}).
Hope that helps
There are a few R scripts that several analysts in an organization need to use in their daily life in order to get some analysis and reports.
I was planning to create a Shiny app so that the scripts would be able to run on a server with more memory and processing power, as well as for having some validation of the inputs with selectable or dropdown fields, as now the inputs are typed manually and this creates a lot of errors.
But there are a few problems with this approach (as far as I know):
1) Shiny disconnects when users closes browser or connection, what would finish the execution of the scripts (they can take several hours to run)
2) Once a script is launched it blocks the whole Shiny for doing other tasks (I have unsuccessfully tried to set up parallel computing... we have Windows servers).
Are there any solutions for the issues above to keep on using Shiny?
Maybe Shiny is not the best system for this? Are there any alternatives?
Thanks
I can't tell you for shiny, but in general there are 2 tools I can recommend for it: rundeck and script-server. Both of them can execute any type of scripts and provide web UI for the script with required inputs, script output, logging, etc.
disclaimer: I'm the owner of the script-server project
I am trying to deploy a Shiny app on shinyapps, but it is not possible to read and write local files from the computer of the user. The idea is that every user can upload some datasets and images given a local path where this input is stored, not to have a same series of inputs for everyone stored in a ´Data´ folder.
I know there are other options to deploy shiny apps (amazon, shiny server), but I am afraid I will find the same kind of problems. Before losing too much time trying other approaches, I would like to know if there is any way to deploy a shiny app that can read these inputs given a local path and, if not, if there is an easy way to prepare an online app that can do this trasnlating from a shiny-based one. If not, I guess I will have to leave my app as a normal R package.
Thank you in advance.
I need to download two Excel files onto the client, and then run a (diff) executable against them. I know how to download a single Excel file, from
here. But how to download a second one automatically in succession? And then how to run a batch command on them? Is this even realistic? Any guidance or pointers would be greatly appreciated.
Thanks,
Mike
To download multiple files at once you have two main options:
1) Just open multiple windows to your page generation script to download multiple files as per http://www.webdeveloper.com/forum/showpost.php?s=b4f6b25edeb6b7ea55434c4685a675fe&p=950225&postcount=6
2) Archive the files into a package (zip/arj/7z etc..) and send the archive to the client.
eg. http://www.motobit.com/tips/detpg_multiple-files-one-request/
As for doing the diff client-side that is a lot more tricky as Shhnap has already mentioned. If you are doing this for a controlled client base you may be able to get them to allow permissions for an ActiveX script that runs something client side. (Or fire off a console application) - but if you don't have fine control over the client environment then i can't think of a way to do it.
As Shhnap suggested can you not just do the comparison server-side (and then send this to the client as a third file?)
Well, just some pointers because I'm not sure I completely understand the problem. You a user to be given two downloads at the same time and then run a diff command against those two files? On the server or the client i'm not sure? You'll have alot of problems automating the client side version because forcing people to run client side code is usually frowned upon by virus protection software.
The server side diff sounds exactly like a CGI moment to me: http://www.cs.tut.fi/~jkorpela/perl/cgi.html. That will allow you to generate a web-page that shows the diff between the two. CGI allows you to run programs on your server and display their output in a webpage; that's the simple explanation.
If that was not quite what you wanted then feel free to give me a comment and i'll try and edit to answer correctly.