Hello, Or maybe
logical_idx <- max_usage_hours_per_region$Region %in% input$Region Another option is ?match Hope this helps, Rui Barradas Às 15:41 de 07/11/20, Jeff Newmiller escreveu:
This looks odd... max_usage_hours_per_region[input$Region,] This would only work if you had rownames on that data frame corresponding to the names of the Regions. This is a common R mistake... you probably need logical_idx <- max_usage_hours_per_region$Region == input$Region max_usage_hours_per_region[ logical_idx,] That said, it is very difficult to separate out R questions when mixed into shiny code, so you would help yourself and this list to work on minimal reproducible examples that focus on the R syntax if possible for posts here. Read the Posting Guide. On November 7, 2020 2:42:58 AM PST, Ritwik Mohapatra <[email protected]> wrote:Hi All, I have a data output as below.I want to display them in an interactive html report using shiny but the data table is not rendering properly and instead giving NA values. max_usage_hours_per_region<-setNames(aggregate(df3_machine_region$sum_as_hours~df3_machine_region$Region,df3_machine_region,max),c("Region","Sum_as_Hours")) Region Sum_as_Hours 1 Africa 1156.0833 2 Americas 740.1667 3 APAC 740.2833 4 Europe 1895.2000 5 PDO 1053.3500 6 UK 0.0000 Rshiny code: library(shiny) ui <- fluidPage( selectInput("Region","Select Region",max_usage_hours_per_region$Region,selected = TRUE), tableOutput("table") ) server <- function(input, output) { output$table <- renderTable( max_usage_hours_per_region[input$Region,]) } shinyApp(ui = ui, server = server) [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
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