rvcauchy                 package:rv                 R Documentation

_G_e_n_e_r_a_t_e _R_a_n_d_o_m _V_a_r_i_a_b_l_e_s _f_r_o_m _a _C_a_u_c_h_y _S_a_m_p_l_i_n_g _M_o_d_e_l

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

     Random vector generation for the Cauchy distribution.

_U_s_a_g_e:

     rvcauchy(n=1, location=0, scale=1)

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

       n: integer: number of variables to generate

location: location parameter (may be random)

   scale: scale parameter (may be random)

_D_e_t_a_i_l_s:

     For details on the Cauchy distribution, see Cauchy. See also
     'rvt'; Cauchy is a special  case of the t-distribution with 1
     degree of freedom, and therefore 'rvcauchy(n,location,scale)' is 
     equivalent to 'rvt(n, mu, scale, df=1)'.

_V_a_l_u_e:

     A random vector (rv object) of length 'n'.

_A_u_t_h_o_r(_s):

     Jouni Kerman kerman@stat.columbia.edu <URL:
     http://www.stat.columbia.edu/~kerman>

_R_e_f_e_r_e_n_c_e_s:

     Kerman, Jouni and Gelman, Andrew. Manipulating and Summarizing
     Posterior Simulations Using Random Variable Objects. Technical
     report, Columbia University, New York.

