

   TThhee UUnniiffoorrmm DDiissttrriibbuuttiioonn

        dunif(x, min=0, max=1)
        punif(q, min=0, max=1)
        qunif(p, min=0, max=1)
        runif(n, min=0, max=1)

   AArrgguummeennttss::

        x,q: vector of quantiles.

          p: vector of probabilities.

          n: number of observations to generate.

    min,max: lower and upper limits of the distribution.

   DDeessccrriippttiioonn::

        These functions provide information about the uniform
        distribution on the interval from `min' to `max'.
        `dunif' gives the density, `punif' gives the distribu-
        tion function `qunif' gives the quantile function and
        `runif' generates random deviates.

        If `min' or `max' are not specified they assume the
        default values of `0' and `1' respectively.

        The uniform distribution has density

                          f(x) = 1/(max-min)

        for min <= x <= max.

   SSeeee AAllssoo::

        `.Random.seed' about random number generation, `rnorm',
        etc for other distributions.

   EExxaammpplleess::

        var(runif(10000))#- ~ = 1/12 = .08333

