问题
I want to create a large table to create some tables after that table in a Shiny app.
This is a part of my server.R:
function(input, output) {
output$year <- renderText(input$year)
################################
# CONFLICTING PART OF THE CODE
year <- reactive({
as.character(input$year)
})
matrix = tbl_df(dbReadTable(rca_matrices_db, reactive(paste0("table_",year))))
################################
my_table = matrix %>% ... BLA BLA BLA
output$more_than_10 <- DT::renderDataTable(DT::datatable({
mytable %>% select(X1,X2) %>% filter(X1 > 10)
}))
output$less_than_10 <- DT::renderDataTable(DT::datatable({
mytable %>% select(X1,X2) %>% filter(X1 < 10)
}))
}
)
And the year comes from this part of ui.R
sidebarPanel(
selectInput('year', 'Year', c("Select year",1999:2015), selected = 1999)
)
If I replace, in the conflicting part of server.R, the year variable for
year <- 2000
then it works
any ideas?
回答1:
The problem is that
matrix = tbl_df(dbReadTable(rca_matrices_db, reactive(paste0("table_",year))))
is not reactive. It will not update whenever the reactive year changes. Also, as already pointed out in the comments, to call the value of the reactive year, you need to use year(). So you need to make my_table a reactive too, maybe as follows:
my_table <- reactive({
my_matrix = tbl_df(dbReadTable(rca_matrices_db, reactive(paste0("table_",year()))))
my_table = my_matrix %>% ... BLA BLA BLA
return (my_table)
})
Now, the value of my_table() will update anytime year() changes, which changes anytime input$year changes. (Note, you could also directly put input$year here instead of making year() a separate reactive).
So you can now do:
output$more_than_10 <- DT::renderDataTable(DT::datatable({
mytable() %>% select(X1,X2) %>% filter(X1 > 10)
}))
and this will update anytime the reactive mytable() changes, which as we just noticed changes as `input$year' changes. Hope this helps!
来源:https://stackoverflow.com/questions/45606255/store-input-as-numeric-value-to-generate-three-tables-in-shiny