R: Add a Slider to a manipulateWidget gadget

mwSlider {manipulateWidget} | R Documentation

## Add a Slider to a manipulateWidget gadget

### Description

Add a Slider to a manipulateWidget gadget

### Usage

    mwSlider(min, max, value, label = NULL, ..., .display = TRUE)

### Arguments

`min` | The minimum value that can be selected.
`max` | The maximum value that can be selected.
`value` | Initial value of the slider A numeric vector of length one will create a regular slider; a numeric vector of length two will create a double-ended range slider
`label` | Display label for the control. If `NULL`, the name of the corresponding variable is used.
`...` | Other arguments passed to function`sliderInput`
`.display` | expression that evaluates to TRUE or FALSE, indicating when the input control should be shown/hidden.

### Value

A function that will generate the input control.

### See Also

Other controls: `mwCheckboxGroup`, `mwCheckbox`, `mwDateRange`, `mwDate`, `mwGroup`, `mwNumeric`, `mwPassword`, `mwRadio`, `mwSelectize`, `mwSelect`, `mwSharedValue`, `mwText`

### Examples

    if (require(plotly)) {

      myWidget <- manipulateWidget(
        plot_ly(data.frame(x = 1:n, y = rnorm(n)), x=~x, y=~y, type = "scatter", mode = "markers"),
        n = mwSlider(1, 100, 10, label = "Number of values")
      )

      Sys.sleep(0.5)

      # Create a double ended slider to choose a range instead of a single value
      mydata <- data.frame(x = 1:100, y = rnorm(100))

      manipulateWidget(
        plot_ly(mydata[n[1]:n[2], ], x=~x, y=~y, type = "scatter", mode = "markers"),
        n = mwSlider(1, 100, c(1, 10), label = "Number of values")
      )

    }

[Package manipulateWidget version 0.10.0 Index]