WeldonDice                package:vcd                R Documentation

_W_e_l_d_o_n'_s _D_i_c_e _D_a_t_a

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

     Data from Pearson (1900) about the frequency of 5s and 6s in
     throws of 12 dice.  Weldon tossed the dice 26,306 times and
     reported his results in a letter to Francis Galton on 1894-02-02.

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

     data(WeldonDice)

_F_o_r_m_a_t:

     A 1-way table giving the frequency of a 5 or a 6 in 26,306 throws
     of 12 dice where 10 indicates '10 or more' 5s or 6s.  The variable
     and its levels are

       No  Name  Levels
        1  n56   0, 1, ..., 10

_S_o_u_r_c_e:

     M. Friendly (2000), Visualizing Categorical Data, pages 20-21.

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

     K. Pearson (1900), On the criterion that a given system of
     deviations from the probable in the case of a correlated system of
     variables is such that it can be reasonably supposed to have
     arisen by random sampling, _Philosophical Magazine_, *50* (5th
     series), 157-175.

     M. Friendly (2000), _Visualizing Categorical Data_. SAS Institute,
     Cary, NC.

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

     data(WeldonDice)
     gf <- goodfit(WeldonDice, type = "binomial")
     summary(gf)
     plot(gf)

