mcnemar.mh              package:concord              R Documentation

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

     calculates a coefficient of reliability for nominal data

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

     mcnemar.mh(x)

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

       x: 2x2 classification matrix or matrix of dichotomous
          classification scores.

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

     'mcnemar.mh' calculates a reliability coefficient for two raters
     classifying n objects into two categories. It will accept either a
     2x2 classification matrix of counts of objects falling into two
     categories or a 2xn or nx2 matrix of classification scores.

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

   kappa: value of kappa

       Z: the Z-score approximation

       p: the probability of Z

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

     Jim Lemon

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

     Siegel, S. & Castellan, N.J.Jr. (1988) Nonparametric statistics
     for the behavioral sciences. Boston, MA: McGraw-Hill.

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

     'stuart.maxwell.mh'

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

      xt<-table(sample(0:1,50,TRUE),sample(0:1,50,TRUE))
      mcnemar.mh(xt)

