cv                  package:FLCore                  R Documentation

_C_o_e_f_f_i_c_i_e_n_t _o_f _V_a_r_i_a_t_i_o_n _o_f _F_L_R _o_b_j_e_c_t_s _w_i_t_h _m_u_l_t_i_p_l_e _i_t_e_r_a_t_i_o_n_s

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

     The Coefficient of Variation of an object with mutiple iterations
     along the sixth  ('iter') dimension can be calculated using
     'cv()'. An object of the same  class, with length=1 on the sixth
     dimension, will be returned.

     CV of 'x' is calculated as sd(x)/mean(x).

     For objects of class 'FLModel', 'cv' returns the result of


                       sqrt(diag(sigma))/theta


     where sigma is the variance-covariance matrix of the theta
     parameter set.

_G_e_n_e_r_i_c _f_u_n_c_t_i_o_n:

     cv(object)

_M_e_t_h_o_d_s:


      _s_i_g_n_a_t_u_r_e(_o_b_j_e_c_t=_F_L_Q_u_a_n_t) : Works along the 'iter' dimension of
          an  'FLQuant'

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

     The FLR Team

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

     FLComp

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

     flq <- FLQuant(rnorm(200, 5, 10), dim=c(5,10), iter=100)
     cv(flq)

