What's the best way to plot graph using AcctionButton?

[danimaiams]

Hi people!

I have the following list of Gadgets in my UI.R code:

numericInput(inputId= "diametro", label= "Diametro do Aco:", value= 0),
                               
numericInput(inputId= "parede", label= "Parede:", value= 0),
                               
textInput(inputId= "grau", label= "Grau:", value= 0),
                               
textInput(inputId= "aqa", label= "AQA:", value= 0),
                                                                                             
actionButton("plot", "Plotar!") <-------- HERE THE BUTTON TO PASS THIS VALUES

... continue the code ...

box( title = "Relatorio de Capabilidade - Diametro x Parede - AQA - Grau",
                              width = "8",
                              footer = "Aqui pode vir qualquer texto",
                              plotOutput("histograma") <------------- HERE THE PLOT
                         )

And to plot this, I have the server.R code:

 output$histograma <-renderPlot({
    capabilidade_LE = qcc(data = capabilidade_LE, type="xbar", plot = TRUE)
    process.capability(object = capabilidade_LE, spec.limits = c(input$lininf,input$linsup))
  })

# Treatment of DATA
valor_le = df$LE
  
  valor_tr = df$TR
  
  relacao_ts = (valor_le/valor_tr)
  #------------------------------------Calculo pra Capabilidade---------------------
  capabilidade_LE <- valor_le
  capabilidade_LE = matrix(valor_le, nrow = 1, ncol = length(valor_le), byrow = TRUE)
  normalidade_LE = matrix(valor_le, nrow = length(valor_le), ncol = 1, byrow = TRUE)

I need to pass all this values to treat the data and plot the graph AFTER this treatment.

How can I do it using the ActionButton?

Many thanks!

[andresrcs]

We don't have enough information to help you, becuse we dont know what libraries are you using and we can't see what your data looks like. Could you please follow this guide about making reproducible examples with shiny apps?

Shiny debugging and reprex guide

Shiny issues can be challenging to resolve relative to other problems with your code or statistical methods. Shiny apps are often large, complex projects with interacting files. When seeking help from others it is considered polite to: First, do your best to work through RStudio's debugging tools to diagnose your issue on your own. Often those shiny logs and tracebacks are useful to others trying to help out. Second, strive to minimize the effort required to replicate your issue. You can do this with a reproducible example ("reprex"). Shiny Debugging Errors in Shiny code can be difficult to track down. If you don't know where your problem is coming from, you can track it down with some o…