I am new to shiny
but was wondering if there is any way to store a filtered datatable (using the column filters) in a R
object so that this filtered data can be passed to histogram and plot functions.
EDIT May 7, 15: Including the author's expanded explanation from comments
I want the table to get filtered using the built-in column filters and
then want the plot to automatically adjust. I've already tried the DT
package but I don't like very much of the column filters that come
with this package as it is not possible (I think) to remove the
filters from a subset of the columns in the table
Just building up on @JasonAizkalns's example, you can hide some of the built-in column filters using jQuery. for example here the first two are hidden:
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(dataTableOutput('tbl'),
plotOutput('plot1')),
server = function(input, output) {
output$tbl = renderDataTable({
datatable(iris, filter="top",options = list(lengthChange = FALSE),callback=JS("
//hide column filters for the first two columns
$.each([0, 1], function(i, v) {
$('input.form-control').eq(v).hide()
});"))
})
output$plot1 = renderPlot({
filtered_data <- input$tbl_rows_all
hist(iris[filtered_data, "Sepal.Length"])
})
}
)
The example suggested by @NicE is very helpful. I am including a minimal example below:
library(shiny)
library(DT)
shinyApp(
ui = fluidPage(dataTableOutput('tbl'),
plotOutput('plot1')),
server = function(input, output) {
output$tbl = renderDataTable({
datatable(iris, options = list(lengthChange = FALSE))
})
output$plot1 = renderPlot({
filtered_data <- input$tbl_rows_all
hist(iris[filtered_data, "Sepal.Length"])
})
}
)
This will generate a histogram of Sepal.Length
from the iris
data set for the filtered data in the DT::datatable
.
Note: This assumes the following versions of DT
and shiny
:
DT_0.0.39 shiny_0.11.1.9005