Description Usage Arguments Details Value See Also Examples
Respond to "event-like" reactive inputs, values, and expressions.
1 2 3 4 5 6 7 8 9 | observeEvent(eventExpr, handlerExpr, event.env = parent.frame(),
event.quoted = FALSE, handler.env = parent.frame(),
handler.quoted = FALSE, label = NULL, suspended = FALSE, priority = 0,
domain = getDefaultReactiveDomain(), autoDestroy = TRUE,
ignoreNULL = TRUE)
eventReactive(eventExpr, valueExpr, event.env = parent.frame(),
event.quoted = FALSE, value.env = parent.frame(), value.quoted = FALSE,
label = NULL, domain = getDefaultReactiveDomain(), ignoreNULL = TRUE)
|
eventExpr |
A (quoted or unquoted) expression that represents the event;
this can be a simple reactive value like |
handlerExpr |
The expression to call whenever |
event.env |
The parent environment for |
event.quoted |
Is the |
handler.env |
The parent environment for |
handler.quoted |
Is the |
label |
A label for the observer or reactive, useful for debugging. |
suspended |
If |
priority |
An integer or numeric that controls the priority with which this observer should be executed. An observer with a given priority level will always execute sooner than all observers with a lower priority level. Positive, negative, and zero values are allowed. |
domain |
See domains. |
autoDestroy |
If |
ignoreNULL |
Whether the action should be triggered (or value
calculated, in the case of |
valueExpr |
The expression that produces the return value of the
|
value.env |
The parent environment for |
value.quoted |
Is the |
Shiny's reactive programming framework is primarily designed for calculated
values (reactive expressions) and side-effect-causing actions (observers)
that respond to any of their inputs changing. That's often what is
desired in Shiny apps, but not always: sometimes you want to wait for a
specific action to be taken from the user, like clicking an
actionButton
, before calculating an expression or taking an
action. A reactive value or expression that is used to trigger other
calculations in this way is called an event.
These situations demand a more imperative, "event handling" style of
programming that is possible–but not particularly intuitive–using the
reactive programming primitives observe
and
isolate
. observeEvent
and eventReactive
provide
straightforward APIs for event handling that wrap observe
and
isolate
.
Use observeEvent
whenever you want to perform an action in
response to an event. (Note that "recalculate a value" does not generally
count as performing an action–see eventReactive
for that.) The first
argument is the event you want to respond to, and the second argument is a
function that should be called whenever the event occurs.
Use eventReactive
to create a calculated value that only
updates in response to an event. This is just like a normal
reactive expression except it ignores all the usual
invalidations that come from its reactive dependencies; it only invalidates
in response to the given event.
Both observeEvent
and eventReactive
take an ignoreNULL
parameter that affects behavior when the eventExpr
evaluates to
NULL
(or in the special case of an actionButton
,
0
). In these cases, if ignoreNULL
is TRUE
, then an
observeEvent
will not execute and an eventReactive
will raise a
silent validation error. This is useful behavior if you
don't want to do the action or calculation when your app first starts, but
wait for the user to initiate the action first (like a "Submit" button);
whereas ignoreNULL=FALSE
is desirable if you want to initially perform
the action/calculation and just let the user re-initiate it (like a
"Recalculate" button).
observeEvent
returns an observer reference class object (see
observe
). eventReactive
returns a reactive expression
object (see reactive
).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ## Only run this example in interactive R sessions
if (interactive()) {
ui <- fluidPage(
column(4,
numericInput("x", "Value", 5),
br(),
actionButton("button", "Show")
),
column(8, tableOutput("table"))
)
server <- function(input, output) {
# Take an action every time button is pressed;
# here, we just print a message to the console
observeEvent(input$button, {
cat("Showing", input$x, "rows\n")
})
# Take a reactive dependency on input$button, but
# not on any of the stuff inside the function
df <- eventReactive(input$button, {
head(cars, input$x)
})
output$table <- renderTable({
df()
})
}
shinyApp(ui=ui, server=server)
}
|
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