If I have a data frame with 4 different columns, 3 of them being categorical and 1 being continuous, I want to get the continuous values of the data frame depending on what categorical values are selected.
That is, I want to stratify/update the data frame whenever the user checks off another radiobutton (or any input really)
For example, if one of the columns was whether they ate food or not, I would like to stratify based off of this, but I don't know how I can continuously update the data frame, I have the option as a radiobutton but
mydata = read_excel('thisdata.xlsx')
ui <- .....
server <- function(input, output){
observeEvent(input$Food, {
if (input$Food == "Yes"){
mydata = mydata[mydata$Food == "Yes", ]
}
if (input$Food == "No"){
mydata = mydata[mydata$Food == "No", ]
}
})
output$distPlot <- renderPlot({
plot(mydata$numCals)
})
}
I was expecting the plot to change as I selected Yes/No on the radiobuttons but the plot remains the same, it's actually as if I were not stratifying at all, it's just taking it all together. How can I obtain something like this?
Note: I changed your code for the filter. You don't need the if statement. You could even change to dplyr::filter()
if you wanted.
The answer using eventReactive()
:
server <- function(input, output) {
mydata_new <- eventReactive(input$Food, {
mydata[mydata$Food == input$Food, ]
})
output$distPlot <- renderPlot({
plot(mydata_new()$numCals)
})
}
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