rvunif                  package:rv                  R Documentation

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

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

     Generates random variables from a Uniform sampling model.

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

     rvunif(n=1, min=0, max=1)

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

       n: integer: number of scalars to generate

     min: lower limit of the distribution, (may be random)

     max: upper limit of the distribution, (may be random)

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

_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.

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

       y <- rvunif(1, min=rvunif(1)-1, rvunif(1)+1) # What marginal distribution does y have now?

