

   TThhee LLooggiissttiicc DDiissttrriibbuuttiioonn

        dlogis(x, location=0, scale=1)
        plogis(q, location=0, scale=1)
        qlogis(p, location=0, scale=1)
        rlogis(n, location=0, scale=1)

   AArrgguummeennttss::

        x,q: vector of quantiles.

          p: vector of probabilities.

          n: number of observations to generate.

   location,scale: location and scale parameters.

   DDeessccrriippttiioonn::

        These functions provide information about the logistic
        distribution with parameters `location' and `scale'.
        `dlogis' gives the density, `plogis' gives the distri-
        bution function `qlogis' gives the quantile function
        and `rlogis' generates random deviates.

        If `location' or `scale' are omitted, they assume the
        default values of `0' and `1' respectively.

        The Logistic distribution with `location' = a and
        `scale' = b has density

            f(x) = 1/b exp((x-a)/b) (1 + exp((x-a)/b))^-2.

   EExxaammpplleess::

        x <- 0:4
        paste(dlogis(x, loc = 0)) == paste(exp(x) * (1 + exp(x))^-2)

