rvsd                   package:rv                   R Documentation

_V_a_r_i_a_n_c_e_s _o_f _C_o_m_p_o_n_e_n_t_s _o_f _R_a_n_d_o_m _V_e_c_t_o_r_s

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

     Computes the means of the simulations  of all individual
     components of a random vector (rv) object.

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

     rvsd(x, ...)

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

       x: an object

     ...: further arguments passed to 'var'

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

     'rvsd' applies the function 'sd' to  the vector of simulations of
     each component of 'x', thus computing "columnwise" standard
     deviations of the matrix of simulations of 'x'.

_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.

_S_e_e _A_l_s_o:

     'rvmin', 'rvmax', 'rvmedian',  'link{rvvar}'.

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

       x <- rvnorm(mean=0, sd=1:10)
       print(rvsd(x))

