lowess                package:FLCore                R Documentation

_M_e_t_h_o_d _l_o_w_e_s_s

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

     LOWESS smoother based on locally-weighted polynomial regression
     for objects of class 'FLSR-class'. The model fitted is of the form
     rec(x)~ssb(x).

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

     lowess(x, y, f=2/3, iter=3, delta=0.01 * diff(range(xy$x[o])))

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


     _s_i_g_n_a_t_u_r_e(_x=_F_L_S_R,_y=_m_i_s_s_i_n_g) : lowessb(x, y, f=2/3, iter=3,
          delta=0.01 * diff(range(ssb(x))))


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

     The FLR Team

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

     lowess

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

     # use the North Sea herring SR dataset
     data(nsher)

     # fitting a rec ~ ssb lowess
     nsher <- lowess(nsher)

     summary(nsher)

     ## Not run: 
     plot(nsher)
     ## End(Not run)

