[R] Data Table not rendering properly using R shiny

Rui Barradas ru|pb@rr@d@@ @end|ng |rom @@po@pt
Sat Nov 7 16:57:44 CET 2020


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$Region
> max_usage_hours_per_region[  logical_idx,]
> 
> That said, it is very difficult to separate out R questions when mixed into shiny code, so you would help yourself and this list to work on minimal reproducible examples that focus on the R syntax if possible for posts here. Read the Posting Guide.
> 
> On November 7, 2020 2:42:58 AM PST, Ritwik Mohapatra <ritm84 using gmail.com> wrote:
>> Hi All,
>>
>> I have a data output as below.I want to display them in an interactive
>> html
>> report using shiny but the data table is not rendering properly and
>> instead
>> giving NA values.
>>
>> max_usage_hours_per_region<-setNames(aggregate(df3_machine_region$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]]
>>
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>> 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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