fwdmvDeterminantPlot         package:Rfwdmv         R Documentation

_P_l_o_t _t_h_e _D_e_t_e_r_m_i_n_a_n_t _i_n _a_n _f_w_d_m_v _O_b_j_e_c_t

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

     Plots the determinants of the covariance matrix estimates against
     the subset size for each group in the 'fwdmv' object.

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

     fwdmvDeterminantPlot(x, psfrag.labels = FALSE)

_A_r_g_u_m_e_n_t_s:

       x: an 'fwdmv' object.

psfrag.labels: a logical value.  If 'TRUE' then the x, y, and main
          labels are set to "xlab", "ylab", and "main" for replacement
          via the psfrag utility.

_V_a_l_u_e:

     an empty list is returned invisibly.

_A_u_t_h_o_r(_s):

     Kjell Konis

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

     Atkinson, A. C., Riani, M. and Cerioli, A. (2004) Exploring
     Multivariate Data with the Forward Search. Springer-Verlag New
     York.

_S_e_e _A_l_s_o:

     'fwdmv.object', 'fwdmv'

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

     data(fondi.dat)

     g1 <- c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 53, 55, 56)

     g2 <- c(57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103)

     fondi.fwdmv <- fwdmv(fondi.dat, groups = list(g1, g2))

     fwdmvDeterminantPlot(fondi.fwdmv)

