Cauchy package:stats R Documentation _T_h_e _C_a_u_c_h_y _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 Cauchy distribution with location parameter 'location' and scale parameter 'scale'. _U_s_a_g_e: dcauchy(x, location = 0, scale = 1, log = FALSE) pcauchy(q, location = 0, scale = 1, lower.tail = TRUE, log.p = FALSE) qcauchy(p, location = 0, scale = 1, lower.tail = TRUE, log.p = FALSE) rcauchy(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. If 'length(n) > 1', the length is taken to be the number required. location, scale: location and scale parameters. 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 'location' or 'scale' are not specified, they assume the default values of '0' and '1' respectively. The Cauchy distribution with location l and scale s has density f(x) = 1 / (pi s (1 + ((x-l)/s)^2)) for all x. _V_a_l_u_e: 'dcauchy', 'pcauchy', and 'qcauchy' are respectively the density, distribution function and quantile function of the Cauchy distribution. 'rcauchy' generates random deviates from the Cauchy. _S_o_u_r_c_e: 'dcauchy', 'pcauchy' and 'qcauchy' are all calculated from numerically stable versions of the definitions. 'rcauchy' uses inversion. _R_e_f_e_r_e_n_c_e_s: Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S Language_. Wadsworth & Brooks/Cole. Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) _Continuous Univariate Distributions_, volume 1, chapter 16. Wiley, New York. _S_e_e _A_l_s_o: 'dt' for the t distribution which generalizes 'dcauchy(*, l = 0, s = 1)'. _E_x_a_m_p_l_e_s: dcauchy(-1:4)