parallelplot              package:dprep              R Documentation

_P_a_r_a_l_l_e_l _C_o_o_r_d_i_n_a_t_e _P_l_o_t

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

     Constructs a parallel coordinate plot for a data set with classes

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

     parallelplot(x, name = "", comb = 0, class = 0, obs = rep(0, 0), 
     col = 2, lty = 1, ...)

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

       x: matrix of numerical values with classes in last column

    name: name of data set as will appear in the graph title

    comb: if comb=0, all distinct combinations of columns are graphed,
          else should be an integer that represents the number of one
          of the possible  combinations for the columns of this matrix.

   class: value representing the class number to which the plot should
          be limited 

     obs: list of one or more row numbers that are to be highlighted in
          the plot

     col: value that provides a choice of color for the plot if limited
          to one class

     lty: value that provides a choice of line width for the plot if
          limited to one class

     ...: additional arguments for the matplot function 

_D_e_t_a_i_l_s:

     This plot is not recommended for a large number of features (say
     more than 50)

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

     A parallel coordinate plot of the data is produced

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

     Caroline Rodriguez

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

     Wegman, E. (1990), Hyperdimensional data analysis using parallel
     coordinates,  Journal of the American Statistical
     Association,85,664-675

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

     'starcoord',  'surveyplot'

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

     #---Parallel Coordinate Plot----
     data(bupa)
     parallelplot(bupa,"Bupa Dataset")
     parallelplot(bupa,"Bupa Dataset",comb=1)
     #parallelplot(bupa,"Bupa Dataset",comb=1,c(1,22,50))

