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