jacknife               package:FLCore               R Documentation

_J_a_c_k_n_i_f_e _r_e_s_a_m_p_l_i_n_g

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

     The 'jacknife' method sets up objects ready for jacknifing, i.e.
     to systematically recompute a given statistic leaving out one
     observation at a time. From this new set of "observations" for the
     statistic an estimate for the bias can be calculated as well as an
     estimate for the variance of the statistic.

     Input objects cannot have length > 1 along the 'iter' dimension,
     and the resulting  object will have as many 'iterations' as
     elements in the original object.

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

     jacknife(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) : Returns an FLQuant with
          iter=length(object), where in each 'iteration' one element
          has been sequantally converted to 'NA'.

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

     The FLR Team

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

     'FLQuant'

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

     flq <- FLQuant(1:8)
     iters(jacknife(flq))

