Reputation: 101
I am building an App with an upload function and a filter function for category variables. That way, users are able to do a bit of data manipulation by specifying columns and values. However, the filter function does not work. The code is simplified as following:
#ui.R
library(shiny)
fluidPage(
titlePanel("Test Dynamic Column Selection"),
sidebarLayout(
sidebarPanel(
fileInput('file1', 'Choose CSV File',
accept=c('text/csv',
'text/comma-separated-values,text/plain',
'.csv')),
hr(),
checkboxInput('header', 'Header', TRUE),
radioButtons('sep', 'Separator',
c(Comma=',',
Semicolon=';',
Tab='\t'),
','),
hr(),
uiOutput("choose_columns"),
hr(),
uiOutput("choose_column"),
textInput('column_value', label = 'Value'),
actionButton('filter', label = 'Filter')
),
mainPanel(
tableOutput('contents')
)
)
)
#server.R
library(shiny)
function(input, output) {
uploaded_data <- reactive({
inFile <- input$file1
read.table(inFile$datapath, header=input$header, sep=input$sep, quote=input$quote)
})
react_vals <- reactiveValues(data = NULL)
output$choose_columns <- renderUI({
if(is.null(input$file1))
return()
colnames <- names(react_vals$data)
checkboxGroupInput("choose_columns", "Choose columns",
choices = colnames,
selected = colnames)
})
output$choose_column <- renderUI({
if(is.null(input$file1))
return()
is_factor <- sapply(react_vals$data, is.factor)
colnames <- names(react_vals$data[, is_factor])
selectInput("choose_column", "Choose column", choices = colnames)
})
observeEvent(input$file1, react_vals$data <- uploaded_data())
observeEvent(input$choose_columns, react_vals$data <- react_vals$data[, input$choose_columns])
# This line of code does not work :(
observeEvent(input$filter, react_vals$data <- subset(react_vals$data, input$choose_column != input$column_value))
output$contents <- renderTable(react_vals$data)
}
Upvotes: 0
Views: 3817
Reputation: 4072
I think there were multiple problems with your app, I try to explain it step by step:
input$choose_columns
is dependent on the react_vals$data
reactive value, and thus when unchecking a checkbox, Shiny assigns a new value to react_vals$data
with one less column, and then rerenders the input$choose_columns
UI, so that there is one less checkbox available. (Same thing with the input$choose_column
selectInput
)Your code:
colnames <- names(react_vals$data)
Replacement code:
colnames <- names(uploaded_data())
req()
when checking whether a file is uploaded, UI is rendered, etc. It is best practice. Your code:
if(is.null(input$file1)) return()
Replacement code:
req(input$file1)
input$choose_column
and input$column_value
.i.e.: "Column name A" != "Value: something"
Which returns TRUE
usually for every rows, and it ended up not filtering at all.
I came up with 2 solutions, they are a little bit ugly, so if someone comes up with a better solution, feel free to comment/edit.
#server.R
library(shiny)
function(input, output) {
uploaded_data <- reactive({
inFile <- input$file1
read.table(inFile$datapath, header=input$header, sep=input$sep, quote=input$quote)
})
react_vals <- reactiveValues(data = NULL)
output$choose_columns <- renderUI({
req(input$file1)
colnames <- names(uploaded_data())
checkboxGroupInput("choose_columns", "Choose columns",
choices = colnames,
selected = colnames)
})
output$choose_column <- renderUI({
req(input$file1)
is_factor <- sapply(uploaded_data(), is.factor)
colnames <- colnames(uploaded_data()[is_factor])
selectInput("choose_column", "Choose column", choices = colnames)
})
observeEvent(input$file1, react_vals$data <- uploaded_data())
observeEvent(input$choose_columns, react_vals$data <- uploaded_data()[, input$choose_columns])
observeEvent(input$filter, {
react_vals$data <-
#Option A
eval(parse(text = sprintf("subset(uploaded_data(), %s != '%s')", input$choose_column, input$column_value)))
#Option B
#subset(uploaded_data(), uploaded_data()[, which(names(uploaded_data()) == input$choose_column)] != input$column_value)
})
output$contents <- renderTable(react_vals$data)
}
shinyApp(ui, server)
Upvotes: 2