VV                    package:UCS                    R Documentation

_V_a_r_i_a_n_c_e _o_f _t_h_e _V_o_c_a_b_u_l_a_r_y _S_i_z_e _o_f _a _L_N_R_E _M_o_d_e_l (_z_m, _f_z_m)

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

     Computes the variance of the vocabulary size of a LNRE model
     (Baayen, 2001) at sample size N.

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

     VV(model, N)

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

   model: an object of class '"zm"' or '"fzm"', representing a
          Zipf-Mandelbrot (ZM) or finite Zipf-Mandelbrot (fZM) LNRE
          model

       N: a vector of positive integers, representing sample sizes

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

     The variance V[V(N)] is computed according to Baayen (2001, 120f).
     See the 'EV' help page for some more information on the vocabulary
     size V(N).

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

     a numeric vector of the same length as 'N'

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

     Baayen, R. Harald (2001). _Word Frequency Distributions._ Kluwer,
     Dordrecht.

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

     'zm', 'fzm', 'VVm', 'EV', 'EVm'

