
{{alias}}( p, r, v[, nranges] )
    Evaluates the quantile function for a studentized range distribution.

    If `p < 0` or `p > 1`, the function returns `NaN`.

    If provided `NaN` as any argument, the function returns `NaN`.

    If provided `r < 2` or `v < 2`, the function returns `NaN`.

    Parameters
    ----------
    p: number
        Input probability.

    r: number
        Sample size for range (same for each group).

    v: number
        Degrees of freedom.

    nranges: integer
        Number of groups whose maximum range is considered. Default: 1.

    Returns
    -------
    out: number
        Evaluated quantile function.

    Examples
    --------
    > var y = quantile( 0.5, 3.0, 2.0 )
     ~0.0644

    > y = quantile( 0.9, 17.0, 2.0 )
     ~0.913

    > y = quantile( 0.5, 3.0, 2.0, 2 )
     ~0.01

    > y = {{alias}}( -0.2, 3.0, 3.0 )
    NaN

    > y = {{alias}}( NaN, 2.0, 2.0 )
    NaN
    > y = {{alias}}( 0.0, NaN, 2.0 )
    NaN

    > y = {{alias}}( 0.5, -1.0, 2.0 )
    NaN


{{alias}}.factory( r, v[, nranges] )
    Returns a function for evaluating the quantile function of a studentized
    range distribution.

    Parameters
    ----------
    r: number
        Sample size for range (same for each group).

    v: number
        Degrees of freedom.

    nranges: integer
        Number of groups whose maximum range is considered. Default: 1.

    Returns
    -------
    quantile: Function
        Quantile function.

    Examples
    --------
    > var myQuantile = quantile.factory( 3.0, 3.0 );
    > var y = myQuantile( 0.5 )
   ~1.791

    > y = myQuantile( 0.8 )
   ~3.245

    See Also
    --------

