probcont2disc          package:verification          R Documentation

_C_o_n_v_e_r_t_s _c_o_n_t_i_n_u_o_u_s _p_r_o_b_a_b_i_l_i_t_y _v_a_l_u_e_s _i_n_t_o _b_i_n_n_e_d
_d_i_s_c_r_e_t_e _p_r_o_b_a_b_i_l_i_t_y _f_o_r_e_c_a_s_t_s.

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

     Converts continuous probability values into binned discrete
     probability forecasts.  This is useful in calculated Brier type
     scores for values with continuous probabilities. Each probability
     is assigned the value of the midpoint.

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

         probcont2disc(x, bins = seq(0,1,0.1) )
            

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

       x: A vector of probabilities

    bins: Bins.  Defaults to 0 to 1 by 0.1 .

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

     A vector of discrete probabilities.  E

_N_o_t_e:

     This function is used within 'brier'.

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

     Matt Pocernich <pocernic@rap.ucar.edu>

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

     #  probabilistic/ binary example

     set.seed(1)
     x <- runif(10) ## simulated probabilities.

     probcont2disc(x)
     probcont2disc(x, bins = seq(0,1,0.25) )

     ## probcont2disc(4, bins = seq(0,1,0.3)) ## gets error

