fwdmvPartitionPlot          package:Rfwdmv          R Documentation

_P_l_o_t _a _P_a_r_t_i_t_i_o_n_e_d _f_w_d_m_v _O_b_j_e_c_t

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

     Produces a plot of the Mahalanobis distances similar to that
     produced by 'fwdmvDistancePlot'.  The trajectories for units
     assigned to tentative groups are not drawn.  Instead, the median
     distance is drawn for each group in the 'fwdmv' object.

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

     fwdmvPartitionPlot(x, pts = NULL, psfrag.labels = FALSE)

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

       x: an 'fwdmv' object.

     pts: optionally include 'x$pts' to draw the segment selected in
          'partition'.

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 invisibly returned.

_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:

     'partition', 'fwdmv', 'fwdmv.object'

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

     # data(fondi.dat)
     # fondi.init <- fwdmv.init(fondi.dat)
     # p1 <- partition(fondi.init)

     # draw a line segment intersecting several trajectories #
     # view the allocation #

     # fwdmvPartitionPlot(p1)

