

_T_h_e _L_o_g_i_s_t_i_c _D_i_s_t_r_i_b_u_t_i_o_n

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

_A_r_g_u_m_e_n_t_s:

     x,q: vector of quantiles.

       p: vector of probabilities.

       n: number of observations to generate.

location,scale: location and scale parameters.

_D_e_s_c_r_i_p_t_i_o_n:

     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.

_E_x_a_m_p_l_e_s:

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

