fwdmvCovariancePlot          package:Rfwdmv          R Documentation

_P_l_o_t _t_h_e _C_o_v_a_r_i_a_n_c_e _M_a_t_r_i_x _o_f _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 elements of the covariance matrix of each group against
     the subset size.

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

     fwdmvCovariancePlot(x, id = FALSE, psfrag.labels = FALSE)

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

       x: an 'fwdmv' object.

      id: a logical value.  If 'TRUE' then the curves in the plot can
          be identified interactively with the mouse.  Alternatively,
          'id = "all"' will identify all of the curves in the plot.

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:

     a list is invisibly returned.  If 'id = TRUE' then the list has an
     element named 'selected' containing the identified curves.  The
     curves are identified by their column index in the fwdmv object. 
     If there is more than one group then the numbers 1 through p are
     for the first group, p+1 through 2p for the second group and so
     on.

_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))

     fwdmvCovariancePlot(fondi.fwdmv)

     fwdmvCovariancePlot(fondi.fwdmv, id = "all")

     # Use 'id = TRUE' for interactive curve labels.

