Learn R Programming

shiny (version 0.9.0)

observe: Create a reactive observer

Description

Creates an observer from the given expression.

Usage

observe(x, env = parent.frame(), quoted = FALSE, label = NULL,
  suspended = FALSE, priority = 0)

Arguments

x
An expression (quoted or unquoted). Any return value will be ignored.
env
The parent environment for the reactive expression. By default, this is the calling environment, the same as when defining an ordinary non-reactive expression.
quoted
Is the expression quoted? By default, this is FALSE. This is useful when you want to use an expression that is stored in a variable; to do so, it must be quoted with `quote()`.
label
A label for the observer, useful for debugging.
suspended
If TRUE, start the observer in a suspended state. If FALSE (the default), start in a non-suspended state.
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 ar

Value

  • An observer reference class object. This object has the following methods: [object Object],[object Object],[object Object],[object Object]

Details

An observer is like a reactive expression in that it can read reactive values and call reactive expressions, and will automatically re-execute when those dependencies change. But unlike reactive expressions, it doesn't yield a result and can't be used as an input to other reactive expressions. Thus, observers are only useful for their side effects (for example, performing I/O).

Another contrast between reactive expressions and observers is their execution strategy. Reactive expressions use lazy evaluation; that is, when their dependencies change, they don't re-execute right away but rather wait until they are called by someone else. Indeed, if they are not called then they will never re-execute. In contrast, observers use eager evaluation; as soon as their dependencies change, they schedule themselves to re-execute.

Examples

Run this code
values <- reactiveValues(A=1)

obsB <- observe({
  print(values$A + 1)
})

# Can use quoted expressions
obsC <- observe(quote({ print(values$A + 2) }), quoted = TRUE)

# To store expressions for later conversion to observe, use quote()
expr_q <- quote({ print(values$A + 3) })
obsD <- observe(expr_q, quoted = TRUE)

# In a normal Shiny app, the web client will trigger flush events. If you
# are at the console, you can force a flush with flushReact()
shiny:::flushReact()

Run the code above in your browser using DataLab