Already recieved a question that I can answer here in the comments. 1. Is there any special reason you use plan(multisession), and not plan(multicore) to take advantage of forking? I'm running Mac OS and there have been issues reported with multicore and multiprocess. That is the only reason. On a Linux machine it should work wonders.
This is a terrific resource, Andres. Many thanks. (By the way, if you have a Twitter account, I will happily share your details with my followers, as I think your work is really good and deserves more prominence). Would that be OK with you?
Thank you for this very helpful video. Can you make a video or explain step-by-step how do you create the .Renviron file. Please explain how to create that file. Thanks
Useful tutorial! How can we pass to the UI module a list of choices which come from the a list calculated before (the unique values of a column from the data)? For example: selectInput("InputA", label = "Filter by input A: ", choices = inputA_values, selected = "All") In other words, how can I use inputA_values list, which is created before the module?
If these values are to be updated constantly the best option would probably be an observer and an update to the UI. On the other hand, if those values a pretetermined, you load them up in your global environemnt (global.R) and pass them as arguments to the module function.
Thanks for the really informative video. I was wondering if there's a way to change the URL where the poll is uploaded based on the module ID? Let's say if your running multiple polls on the same dashboard for different subject types?
When I run the program in rstudio, firebase can write and read values normally, but after putting it on shiny and turning it into a website, I can’t connect to the database. I also use firedata, and I don’t use absolute paths. How can I check for errors? ?
Hi Andres, I have a question, I need to render a leaflet plot in a shiny app, but the entire app waits to this plot to render before showing any other plot, with the approach explained in this video can I render the leaflet plot async to avoid this behaviour?
Short answer, kind of. The process of creating the plot can be easily made async, however, the building of JavaScript and sending that information to the user cannot. In other words, the building of the R object can easily be made async. Hope it helps. Here is a really good stackoverflow post with something similar. Take a look at the second answer: stackoverflow.com/questions/56795877/render-plotly-plots-asynchronously-in-shiny-app
Already recieved a question that I can answer here in the comments.
1. Is there any special reason you use plan(multisession), and not plan(multicore) to take advantage of forking?
I'm running Mac OS and there have been issues reported with multicore and multiprocess. That is the only reason. On a Linux machine it should work wonders.
thank you Andes, your code is clean and useful, hope you keep share your findings 👌
Man this is so awesome, and the code is super clean. Thank you for this tutorial. This is a big help. 😀
Very well explained
Thank you very much, man! awesome!
This is a terrific resource, Andres. Many thanks. (By the way, if you have a Twitter account, I will happily share your details with my followers, as I think your work is really good and deserves more prominence). Would that be OK with you?
Thank you for this very helpful video. Can you make a video or explain step-by-step how do you create the .Renviron file. Please explain how to create that file. Thanks
Useful tutorial!
How can we pass to the UI module a list of choices which come from the a list calculated before (the unique values of a column from the data)?
For example:
selectInput("InputA", label = "Filter by input A: ", choices = inputA_values, selected = "All")
In other words, how can I use inputA_values list, which is created before the module?
If these values are to be updated constantly the best option would probably be an observer and an update to the UI. On the other hand, if those values a pretetermined, you load them up in your global environemnt (global.R) and pass them as arguments to the module function.
Thanks for the really informative video.
I was wondering if there's a way to change the URL where the poll is uploaded based on the module ID? Let's say if your running multiple polls on the same dashboard for different subject types?
Hey! Sorry I had not seen the comment. Absolutely you can do that. I could do a video on that soon.
When I run the program in rstudio, firebase can write and read values normally, but after putting it on shiny and turning it into a website, I can’t connect to the database.
I also use firedata, and I don’t use absolute paths.
How can I check for errors? ?
Hi Andreas thaks so much for this very helpful video.
I have a problem: I want to read again the data recorded how i can do?
Hey, the data recorded by firebase can be accessed directly through the google cloud console or the fireData library from R.
@@AndyQuinteroM ok, thanks i have seen it.
And how to delete a row? I sow that there is a function removeValue but i don't understand how to use
Hi Andres, I have a question, I need to render a leaflet plot in a shiny app, but the entire app waits to this plot to render before showing any other plot, with the approach explained in this video can I render the leaflet plot async to avoid this behaviour?
Short answer, kind of. The process of creating the plot can be easily made async, however, the building of JavaScript and sending that information to the user cannot. In other words, the building of the R object can easily be made async. Hope it helps. Here is a really good stackoverflow post with something similar. Take a look at the second answer: stackoverflow.com/questions/56795877/render-plotly-plots-asynchronously-in-shiny-app
@@AndyQuinteroM thanks!!!
@@deradelo No problem!
auto update data for shiny app. Can you make a practical video on that please a there is no video like that.