the given script updates the process_map() plot in R shiny using
selectInput. I wish to replicate the same functionality using a sliderInput.
library(shiny)
library(shinydashboard)
library(bupaR)
library(edeaR)
library(eventdataR)
library(processmapR)
library(processmonitR)
library(xesreadR)
library(petrinetR)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
selectInput("resources","Select the resource",
c("r1","r2","r3","r4","r5"),selected = "r1",selectize = T, multiple = T)
),
dashboardBody(
uiOutput("ui")
))
server <- function(input, output) {
output$ui <- renderUI({
r <- input$resources
tagList(filter_resource(patients,resources = r, reverse = F) %>%
process_map())
})
}
shinyApp(ui, server)
I just realized the slider needed numeric input to update the plot, hence incorporated the same
sliderInput("activities", "Select the activities", 0.1, 1.0, 0.1 )
It is working fine for my own problem.
Related
My goal is to plot the output, a process map, onto the browser. The output plot continues to appear in the Viewer pane in RStudio.
All of the functionality works as expected and I'm able to call the appropriate data and generate a dynamic output based on the dropdown menu.
Any help would be much appreciated. Full code is below.
library(shiny)
library(bupaR)
library(pm4py)
library(reticulate)
library(processmapR)
ui <- fluidPage(
tags$h1("Process Mining"),
tags$p("The purpose of this application is to show the Process Map output"),
fluidRow(
selectInput("pm_type","Process Mining Type", c("absolute","relative"))),
fluidRow(
plotOutput("plot1"))
)
server <- function(input, output) {
selectedData <- reactive({input$pm_type})
output$plot1 <- renderPlot({
patients %>%
process_map(type = frequency(selectedData()))
})
}
shinyApp(ui = ui, server = server)
To get output of process_map in shiny you have to use GrViz functions from DiagrammeR.
library(shiny)
library(bupaR)
library(pm4py)
library(reticulate)
library(processmapR)
library(DiagrammeR)
ui <- fluidPage(
tags$h1("Process Mining"),
tags$p("The purpose of this application is to show the Process Map output"),
fluidRow(
selectInput("pm_type","Process Mining Type", c("absolute","relative"))),
fluidRow(
grVizOutput("plot1"))
)
server <- function(input, output) {
selectedData <- reactive({input$pm_type})
output$plot1 <- renderGrViz({
patients %>%
process_map(type = frequency(selectedData()))
})
}
shinyApp(ui = ui, server = server)
In my current application I am using a navlistPanel similar to the one below and I was wondering whether it would be possible to add a selectInput UI element to the navlist?
I have tried this in my ui.R but it doesn't work:
fluidPage(
titlePanel("Application Title"),
navlistPanel(
"Header",
tabPanel("First"),
tabPanel("Second"),
tabPanel("Third")
# selectInput(inputId, label, choices, selected = NULL) <- I've tried this but it doesn't work
)
)
Any solutions/workarounds are welcome.
I was wondering whether using sidebarLayout + sidebarPanel would work where the sidebarPanel imitates the behaviour of a navlistPanel but wasn't able to implement it.
A clean solution will be difficult, but how about something like this:
library(shiny)
shinyApp(
ui <- fluidPage(
titlePanel("Application Title"),
navlistPanel("Header", id = "navOut",
tabPanel("First", "First"),
tabPanel(selectInput("navSel", "Selection:", c("b", "c")), textOutput("txt"))
)
),
server <- shinyServer(function(input, output){
output$txt <- renderText(input$navSel)
})
)
If you are okay with using shinydashboard, it is fairly simple.
library(shiny)
library(shinydashboard)
rm(list=ls)
######/ UI Side/######
header <- dashboardHeader(title = "Test")
sidebar <- dashboardSidebar(
sidebarMenu(
menuItem("First Tab",tabName = "FTab", icon = icon("globe")),
menuItem("Second Tab",tabName = "STab", icon = icon("star"))
),
selectInput("navSel", "Selection:", c("b","c"))
)
body <- dashboardBody()
ui <- dashboardPage(header, sidebar, body)
######/ SERVER Side/######
server <- function(input, output, session) {
}
shinyApp(ui, server)
I have an existing Shiny script with standard widgets from the Shiny library. Now I wish to add something to show temperature on a graphical scale? This would be a read-only value, so it wouldn't make sense to use a slider unless the slider can be locked and only changed programatically. Is that possible? If not, what are other suggestions?
To clarify:
Is it possible to have a Shiny slider as read only. The user can not slide it but it can be programmatically changed. Here is a Shiny slider:
library(shiny)
ui <- fluidPage(
sliderInput("aa", "Temp",
min = -20, max = 20,
value = 10, step = 10)
)
server <- function(input, output) { }
shinyApp(ui, server)
I'm not familiar with Shiny Dashboard but I saw taskItem. Can these be "dropped in" and used with a normal Shiny app that uses fluidPage, sidebarPanel, mainPanel? How does one remove the bullet point and the percentage? Here is an example of a taskItem.
library(shiny)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody(
taskItem(value = temp <- 89, color = "red",
"Temp"
))
)
server <- function(input, output) { }
temp <- 89
shinyApp(ui, server)
AFAIK, sliderInput cannot be used as an output. However here's a potential solution using progressBar from shinyWidgets package
library(shiny)
library(shinyWidgets)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
h3("Sidebar")
),
mainPanel(
br(), br(), br(),
progressBar("tempbar", value = 0, title = "Temperature", status = "danger")
)
)
)
server <- function(input, output, session) {
temp <- 89
updateProgressBar(session, id = "tempbar", value = temp)
}
shinyApp(ui, server)
shiny app with temperature bar
Replace temp in server with whatever calculated value you might have. For fixed temperature value just set it in ui, no need to use updateProgressBar. By default progressBar is scaled from 0-100. To modify see documentation for it.
You can use updateSliderInput to achieve such an behaviour. Couple this with shinyjs::disabled and you get what you want. I would however look for a less hackish solution:
library(shiny)
library(shinyjs)
ui <- fluidPage(
## add style to remove the opacity effect of disabled elements
tags$head(
tags$style(HTML("
.irs-disabled {
opacity: 1
}")
)
),
useShinyjs(),
disabled(sliderInput("aa", "Temp",
min = -20, max = 20,
value = 10, step = 10)),
actionButton("Change", "Change")
)
server <- function(input, output, session) {
observeEvent(input$Change, {
new_temp <- sample(seq(-20, 20, 10), 1)
updateSliderInput(session, "aa", value = new_temp)
})
}
shinyApp(ui, server)
The script below when executed creates a process_map() with a select input. Upon selecting a resource like "r1","r2" etc. we get the corresponding process map. However I want to dynamically pass an input from the selectInput bar and update the process map within R shiny page Snapshot for your reference. Please help.
## app.R ##
install.packages("bupaR")
install.packages("edeaR")
install.packages("eventdataR")
install.packages("processmapR")
install.packages("processmonitR")
install.packages("xesreadR")
install.packages("petrinetR")
install.packages("shiny")
install.packages("shinydashboard")
library(shiny)
library(shinydashboard)
library(bupaR)
library(edeaR)
library(eventdataR)
library(processmapR)
library(processmonitR)
library(xesreadR)
library(petrinetR)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
selectInput("resources","Select the resource", c("r1","r2","r3","r4","r5"),
selected = "r1",selectize = T)
),
dashboardBody(
filter_resource(patients,resources = c("r1","r2","r4"), reverse = F) %>%
process_map()
))
server <- function(input, output) {
}
shinyApp(ui, server)
You could do
library(shiny)
library(shinydashboard)
library(bupaR)
library(edeaR)
library(eventdataR)
library(processmapR)
library(processmonitR)
library(xesreadR)
library(petrinetR)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(
selectInput("resources","Select the resource", c("r1","r2","r3","r4","r5"),selected = "r1",selectize = T)
),
dashboardBody(
uiOutput("ui")
))
server <- function(input, output) {
output$ui <- renderUI({
r <- input$resources
tagList(filter_resource(patients,resources = r, reverse = F) %>% process_map())
})
}
shinyApp(ui, server)
I have a checkboxGroupInput in my Shiny app with the following code :
checkboxGroupInput("sexe", "Sexe:",
c("Masculin" = "mas","Féminin" = "fem"))
My question is how to have them checked when first loaded?
knowing that I've tried selected= c but didn't work
use selected = c("mas","fem")
For example
library(shiny)
library(shinydashboard)
ui <- dashboardPage(
dashboardHeader(),
dashboardSidebar(),
dashboardBody( checkboxGroupInput("sexe","Sexe:",
choices = c("Masculin" = "mas", "Femenin" = "fem"),
selected = c("mas","fem")))
)
server <- function(input, output){
}
shinyApp(ui, server)