melanoma               package:lattice               R Documentation

_M_e_l_a_n_o_m_a _s_k_i_n _c_a_n_c_e_r _i_n_c_i_d_e_n_c_e

_D_e_s_c_r_i_p_t_i_o_n:

     These data from the Connecticut Tumor Registry present
     age-adjusted numbers of melanoma skin-cancer incidences per
     100,000 people in Connectict for the years from 1936 to 1972.

_U_s_a_g_e:

     melanoma

_F_o_r_m_a_t:

     A data frame with 37 observations on the following 2 variables.

     _y_e_a_r Years 1936 to 1972.

     _i_n_c_i_d_e_n_c_e Rate of melanoma cancer per 100,000 population.

_N_o_t_e:

     This dataset is not related to the 'melanoma' dataset in the
     *boot* package with the same name.

     The S-PLUS 6.2 help for the melanoma data says that the incidence
     rate is per _million_, but this is not consistent with data found
     at the National Cancer Institute (<URL: http://www.nci.nih.gov>).

_A_u_t_h_o_r(_s):

     Documentation contributed by Kevin Wright.

_S_o_u_r_c_e:

     Houghton, A., E. W. Munster, and M. V. Viola.  (1978).  Increased
     Incidence of Malignant Melanoma After Peaks of Sunspot Activity.
     _The Lancet_, *8*, 759-760.

_R_e_f_e_r_e_n_c_e_s:

     Cleveland, William S. (1993). _Visualizing Data_.  Hobart Press,
     Summit, New Jersey.

_E_x_a_m_p_l_e_s:

     # Time-series plot.  Figure 3.64 from Cleveland.
     xyplot(incidence ~ year,
       data = melanoma,
             aspect = "xy",
             panel = function(x, y)
                     panel.xyplot(x, y, type="o", pch = 16),
             ylim = c(0, 6),
             xlab = "Year",
             ylab = "Incidence")

