Prostate               package:lasso2               R Documentation

_P_r_o_s_t_a_t_e _C_a_n_c_e_r _D_a_t_a

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

     These data come from a study that examined the correlation between
     the level of prostate specific antigen and a number of clinical
     measures in men who were about to receive a radical prostatectomy.
      It is data frame with 97 rows and 9 columns.

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

     data(Prostate)

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

     The data frame has the following components:

     '_l_c_a_v_o_l' log(cancer volume)

     '_l_w_e_i_g_h_t' log(prostate weight)

     '_a_g_e' age

     '_l_b_p_h' log(benign prostatic hyperplasia amount)

     '_s_v_i' seminal vesicle invasion

     '_l_c_p' log(capsular penetration)

     '_g_l_e_a_s_o_n' Gleason score

     '_p_g_g_4_5' percentage Gleason scores 4 or 5

     '_l_p_s_a' log(prostate specific antigen)

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

     Stamey, T.A., Kabalin, J.N., McNeal, J.E., Johnstone, I.M.,
     Freiha, F., Redwine, E.A. and Yang, N. (1989)
      Prostate specific antigen in the diagnosis and treatment of
     adenocarcinoma of the prostate: II. radical prostatectomy treated
     patients, _Journal of Urology_ *141*(5), 1076-1083.

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

     data(Prostate)
     attach(Prostate)
     pairs(Prostate, col = 1+svi, pch = gleason - 5,
           main = paste("Prostate data, n = ", nrow(Prostate)))
     detach()

     l1c.P <- l1ce(lcavol ~ ., data = Prostate)
     coef(l1c.P)[coef(l1c.P) != 0] ## only age, lcp, lpsa (+ intercept)
     summary(l1c.P)

