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 (). _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")