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  1. The key difference is the distinction they make in the Shiny documentation, between reactive "sources" and "conductors." In that terminology, reactive({...}) is a conductor, but reactiveValues can only be a source.

  2. Compare the syntax for getting and setting individual reactive values. l1 <- reactiveValues (a = 1, b = 2) l2 <- list (a = reactiveVal (1), b = reactiveVal (2)) Design and perform a small experiment to verify that reactiveVal() also has reference semantics.

  3. The reactiveVal function is used to construct a "reactive value" object. This is an object used for reading and writing a value, like a variable, but with special capabilities for reactive programming.

  4. Apr 1, 2019 · reactiveValues and reactiveVal are super useful to handle events such as setting a counter that can control whether to show outputs and when. Below is the reactiveValues version but the reactiveVal would also do the job: library(shiny) library(shinyWidgets) shinyApp( ui = fluidPage( numericInput("n", "n", 1),

  5. Reactive expressions are expressions that can read reactive values and call other reactive expressions. Whenever a reactive value changes, any reactive expressions that depended on it are marked as "invalidated" and will automatically re-execute if necessary.

  6. The reactiveVal function is used to construct a "reactive value" object. This is an object used for reading and writing a value, like a variable, but with special capabilities for reactive programming.

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  8. This function returns an object for storing reactive values. It is similar to a list, but with special capabilities for reactive programming. When you read a value from it, the calling reactive expression takes a reactive dependency on that value, and when you write to it, it notifies any reactive functions that depend on that value.

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