I am using R shiny to develop a interactive analysis tool. Now I want to do classification tree based on variables check in checkboxGroupInput. How can I select that subset of data? THX!
UI:
dateInput("date","Enter date:",value = date),
checkboxGroupInput("variable", "Variable:",
choices = names ,selected = names
)
server I tried, but doesn't work:
dataall <- reactive({
filename <- paste0("dataall_'", input$date, "'.RData")
load(filename)
feature.test[,names(feature.test) %in% input$variable]
})
feature.test is data in loaded file.
Hard to understand what you want since you don't subset the file you load. What is feature.test
?
Here is a simple example to how to subset a data frame using an input and shiny reactivity :
shiny::runApp(list(
ui = basicPage(
selectInput("specy", "Specy", choices = levels(iris$Species)),
tableOutput("content")
),
server = function(input, output, session) {
output$content <- renderTable({
iris[iris$Species == input$specy, ]
})
}
))
EDIT ## : Subset by column :
shiny::runApp(list(
ui = pageWithSidebar(
headerPanel("Example"),
sidebarPanel(
checkboxGroupInput("variable", "Variable:", choices = names(iris))
),
mainPanel(
tableOutput("content")
)
),
server = function(input, output, session) {
output$content <- renderTable({
if(is.null(input$variable))
return()
iris[input$variable]
})
}
))
"variable"
is supposed to be "date"
since this is the control that you are referencing in the UI part, as in:
checkboxGroupInput( "date", "Variable:",
choices = names ,selected = names
)
For data.table
you need to add a ,with=FALSE
or use a temporary variable in the server code:
# Load libraries
library(shiny)
library(data.table)
# Copy dataset
irisDT=copy(iris)
setDT(irisDT)
# Shiny app
shiny::runApp(list(
# UI
ui = pageWithSidebar(
headerPanel("Example"),
sidebarPanel(
checkboxGroupInput("variable", "Variable:", choices = names(iris))
),
mainPanel(
tableOutput("content")
)
),
# Server
server = function(input, output, session) {
output$content <- renderTable({
if(is.null(input$variable))
return()
# iris[input$variable] # data.frame
irisDT[, input$variable, with=FALSE] # data.table
# Alternatively:
# tmp <- input$variable
# irisDT[, ..tmp]
})
}
))
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