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Shiny system call with continuous updates


Shiny system call with continuous updates

By : Mixalhs Kallitheoths
Date : November 19 2020, 03:01 PM
will be helpful for those in need As suggested in the comments, I advocate for a connection between C++ and shiny via a text file. My answer here shows you how to import a file "reactively". The following is adapted from option 4 in the linked answer.
Notice that the process will get started once for each user that connects, so you might want to tweak this code by moving the line system("./tmp > mytext.txt", intern = F, wait = FALSE) into global.R.
code :
ui <- bootstrapPage( 
  verbatimTextOutput("text") 
) 

server <- function(input, output, session) { 

  system("./tmp > mytext.txt", intern = F, wait = FALSE) 

  observe({ 
    ## read the text file once every 50 ms
    invalidateLater(50, session)
    req(file.exists("mytext.txt")) 
    txt <- paste(readLines("mytext.txt"), collapse = "\n") 
    output$text <- renderText(txt) 
  }) 
} 

shinyApp(ui = ui, server = server) 


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Warning: system call failed: Cannot allocate memory while installing ‘shiny’ on R 3.1.2

Warning: system call failed: Cannot allocate memory while installing ‘shiny’ on R 3.1.2


By : user3124529
Date : March 29 2020, 07:55 AM
Does that help There is clearly something wrong at your end as many of us have shiny on current R installations:
code :
R> R.version.string
[1] "R version 3.1.2 (2014-10-31)"
R> packageDescription("shiny")[1:4]
$Package
[1] "shiny"

$Type
[1] "Package"

$Title
[1] "Web Application Framework for R"

$Version
[1] "0.11"

R> 
Discretizing continuous variable with Shiny

Discretizing continuous variable with Shiny


By : Charles Henniker
Date : March 29 2020, 07:55 AM
To fix the issue you can do I am trying to create a flexible Shiny interface for discretizing continuous variables. For example, I want the user to look at mtcars$mpg, select n levels, choose the min and max for each of the n levels, and then give a histogram of the new discretized variable. Obviously, cuts is the main function for this in R but the main challenge is creating a flexible enough interface. , Here's a solution for your output$sliders:
code :
output$sliders <- renderUI({
                n <- input$levels
                lapply(1:n,function(i) {
                        if (i==1) {
                                # first slider can take on any mpg
                                sliderInput(paste0("slider",i),paste0("Select range for level",i),
                                            min=min(mtcars$mpg),max=max(mtcars$mpg),value=input[[paste0("slider",i)]])
                        } else {
                                if(input[[paste0("slider",i-1)]]!=max(mtcars$mpg)){
                                # subsequent sliders limited to values greater than previous slider's selected value 
                                # here is where my problems are
                                sliderInput(paste0("slider",i),paste0("Select range for level",i),
                                            min=as.numeric(input[[paste0("slider",i-1)]]),max=max(mtcars$mpg),value=input[[paste0("slider",i)]])
                                }
                        }
                })
    })
SwiftUI: How to get continuous updates from Slider

SwiftUI: How to get continuous updates from Slider


By : Oggiano Francesco
Date : March 29 2020, 07:55 AM
around this issue In SwiftUI, you can bind UI elements such as slider to properties in your data model and implement your business logic there.
For example, to get continuous slider updates:
code :
import SwiftUI
import Combine

final class SliderData: BindableObject {

  let didChange = PassthroughSubject<SliderData,Never>()

  var sliderValue: Float = 0 {
    willSet {
      print(newValue)
      didChange.send(self)
    }
  }
}

struct ContentView : View {

  @EnvironmentObject var sliderData: SliderData

  var body: some View {
    Slider(value: $sliderData.sliderValue)
  }
}
window.rootViewController = UIHostingController(rootView: ContentView().environmentObject(SliderData()))
Continuous location updates in background

Continuous location updates in background


By : Hussam Abu-Libdeh
Date : March 29 2020, 07:55 AM
this will help i am developing a application which will send location updates continuously from a background service. i tried following code. , Try this:
R Shiny - Continuous background task

R Shiny - Continuous background task


By : BennD
Date : March 29 2020, 07:55 AM
Hope that helps I was thinking about this, and I think it is possible, but the implementation I have in mind is platform-specific. In this case, I will assume ubuntu 14.04.
Lets say you have some computationally intensive task:
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