threshsum               package:waved               R Documentation

_S_h_o_w _t_h_r_e_s_h_o_l_d _e_f_f_e_c_t_s

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

     Provide a summary of threshold effects in WaveD fit.

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

     threshsum(w.res, L = 3, F = (log2(length(w.res)) - 1))

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

   w.res: A vector of wavelet coefficients 

       L: Low resolution level 

       F: Fine resolution level

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

     A vector of length F-L+1,  with ONES and ZEROS. The ZEROS show
     that no coefficient remains at the corresponding resolution level.

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

     Marc Raimondo

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

     Raimondo, M. and Stewart, M. (2007), "The WaveD Transform in R",
     Journal of Statistical Software.

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

     'WaveD'

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

     library(waved)
     data=waved.example(TRUE,FALSE)
     doppler.wvd=WaveD(data$doppler.noisy,data$g)
     threshsum(doppler.wvd$w,3,8)

