WomenQueue                package:vcd                R Documentation

_W_o_m_e_n _i_n _Q_u_e_u_e_s

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

     Data from Jinkinson & Slater (1981) and Hoaglin & Tukey (1985)
     reporting the frequency distribution of females in 100 queues of
     length 10 in a London Underground station.

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

     data(WomenQueue)

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

     A 1-way table giving the number of women in 100 queues of length
     10.  The variable and its levels are 

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

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

     M. Friendly (2000), Visualizing Categorical Data, pages 19-20.

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

     D. C. Hoaglin & J. W. Tukey (1985), Checking the shape of discrete
     distributions. In D. C. Hoaglin, F. Mosteller, J. W. Tukey (eds.),
     _Exploring Data Tables, Trends and Shapes_, chapter 9. John Wiley
     & Sons, New York.

     R. A. Jinkinson & M. Slater (1981), Critical discussion of a
     graphical method for identifying discrete distributions, _The
     Statistician_, *30*, 239-248.

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

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

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

