EPG contact indices           package:emu           R Documentation

_E_l_e_c_t_r_o_p_a_l_a_t_o_g_r_a_p_h_i_c _c_o_n_t_a_c_t _i_n_d_i_c_e_s

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

     epgai(), epgci(), epgdi() return the anteriority index, the
     centrality index, the dorsopalatal index respectively as a
     trackdata object or a vector

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

     epgai (epgdata, weights = c(1, 9, 81, 729, 4921))
         epgci (epgdata, weights = c(1, 17, 289, 4913)) 
         epgdi (epgdata)  

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

 epgdata: An eight-columned EPG-compressed trackdata object, or an
          eight columned matrix of EPG-compressed trackdata, or a 3D
          palatographic array that is the output of palate() 

 weights: A vector of five values  that are applied to EPG rows 1-5
          respectively in epgai(). A vector of four values that are
          applied to columns 1 and 8,  to columns 2 and 7, columns 3
          and 6, columns 4 and 5 respectively. Defaults to the values
          given in Recasens & Pallares (2001). 

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

     These are exact implementations of the formulae for calculating
     the EPG anteriority, EPG centrality,  and EPG dorsopalatal indices
     as described in Recasens & Pallares (2001).

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

     These functions return a trackdata object if they are applied to
     an eight-columned EPG-compressed trackdata object, otherwise a
     one-columned matrix.

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

     Jonathan Harrington

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

     GIBBON, F. AND NICOLAIDIS, K. (1999). Palatography.  In W.J.
     Hardcastle & N. Hewlett (eds). Coarticulation.  (pp. 229-245).
     Cambridge University Press: Cambridge.

     RECASENS, D. & PALLARES, M. (2001) Coarticulation, assimilation
     and  blending in Catalan consonant clusters. Journal of Phonetics,
     29, 273-301.

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

     'epgcog' 'epggs' 'palate'

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

     #  Anteriority index: trackdata
     ai <- epgai(coutts.epg)
     #  Dorsopalatal index, one-columned matrix
     di <- epgdi(dcut(coutts.epg, 0.5, prop=TRUE))
     # Next to examples: Centrality  index, one-columed matrix
     ci <- epgci(palate(coutts.epg))
     ci <- epgci(palate(dcut(coutts.epg, 0.5, prop=TRUE)))

