Exponential               package:base               R Documentation

_T_h_e _E_x_p_o_n_e_n_t_i_a_l _D_i_s_t_r_i_b_u_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     Density, distribution function, quantile function and random
     generation for the exponential distribution with rate `rate'
     (i.e., mean `1/rate').

_U_s_a_g_e:

     dexp(x, rate = 1, log = FALSE)
     pexp(q, rate = 1, lower.tail = TRUE, log.p = FALSE)
     qexp(p, rate = 1, lower.tail = TRUE, log.p = FALSE)
     rexp(n, rate = 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.

    rate: vector of rates.

log, log.p: logical; if TRUE, probabilities p are given as log(p).

lower.tail: logical; if TRUE (default), probabilities are P[X <= x],
          otherwise, P[X > x].

_D_e_t_a_i_l_s:

     If `rate' is not specified, it assumes the default value of `1'.

     The exponential distribution with rate lambda has density

                     f(x) = lambda e^(- lambda x)

     for x >= 0.

_V_a_l_u_e:

     `dexp' gives the density, `pexp' gives the distribution function,
     `qexp' gives the quantile function, and `rexp' generates random
     deviates.

_N_o_t_e:

     The cumulative hazard H(t) = - log(1 - F(t)) is `-pexp(t, r, lower
     = FALSE, log = TRUE)'.

_S_e_e _A_l_s_o:

     `exp' for the exponential function, `dgamma' for the gamma
     distribution and `dweibull' for the Weibull distribution, both of
     which generalize the exponential.

_E_x_a_m_p_l_e_s:

     dexp(1) - exp(-1) #-> 0
     r <- rexp(100)
     all(abs(1 - dexp(1, r) / (r*exp(-r))) < 1e-14)

