{{alias}}( arr[, options] )
    Computes the sample ranks for the values of an array-like object.

    When all elements of the `array` are different, the ranks are uniquely
    determined. When there are equal elements (called *ties*), the `method`
    option determines how they are handled. The default, `'average'`, replaces
    the ranks of the ties by their mean. Other possible options are `'min'` and
    `'max'`, which replace the ranks of the ties by their minimum and maximum,
    respectively. `'dense'` works like `'min'`, with the difference that the
    next highest element after a tie is assigned the next smallest integer.
    Finally, `ordinal` gives each element in `arr` a distinct rank, according to
    the position they appear in.

    The `missing` option is used to specify how to handle missing data.
    By default, `NaN` or `null` are treated as missing values. `'last'`specifies
    that missing values are placed last, `'first'` that the are assigned the
    lowest ranks and `'remove'` means that they are removed from the array
    before the ranks are calculated.

    Parameters
    ----------
    arr: Array<number>
        Input values.

    options: Object (optional)
        Function options.

    options.method (optional)
        Method name determining how ties are treated (`average`, `min`, `max`,
        `dense`, or `ordinal`). Default: `'average'`.

    options.missing (optional)
        Determines where missing values go (`first`, `last`, or `remove`).
        Default: `'last'`.

    options.encoding (optional)
        Array of values encoding missing values. Default: `[ null, NaN ]`.

    Returns
    -------
    out: Array
        Array containing the computed ranks for the elements of the input array.

    Examples
    --------
    > var arr = [ 1.1, 2.0, 3.5, 0.0, 2.4 ] ;
    > var out = {{alias}}( arr )
    [ 2, 3, 5, 1, 4 ]

    // Ties are averaged:
    > arr =  [ 2, 2, 1, 4, 3 ];
    > out = {{alias}}( arr )
    [ 2.5, 2.5, 1, 5, 4 ]

    // Missing values are placed last:
    > arr = [ null, 2, 2, 1, 4, 3, NaN, NaN ];
    > out = {{alias}}( arr )
    [ 6, 2.5, 2.5, 1, 5, 4, 7 ,8 ]

    See Also
    --------