parcoord                package:MASS                R Documentation

_P_a_r_a_l_l_e_l _C_o_o_r_d_i_n_a_t_e_s _P_l_o_t

_D_e_s_c_r_i_p_t_i_o_n:

     Parallel coordinates plot

_U_s_a_g_e:

     parcoord(x, col = 1, lty = 1, var.label = FALSE, ...)

_A_r_g_u_m_e_n_t_s:

       x: a matrix or data frame who columns represent variables. 
          Missing values are allowed. 

     col: A vector of colours, recycled as necessary for each
          observation. 

     lty: A vector of line types, recycled as necessary for each
          observation. 

var.label: If 'TRUE', each variable's axis is labelled with maximum and
          minimum values. 

     ...: Further graphics parameters which are passed to 'matplot'. 

_S_i_d_e _E_f_f_e_c_t_s:

     a parallel coordinates plots is drawn.

_A_u_t_h_o_r(_s):

     B. D. Ripley.  Enhancements based on ideas and code by Fabian
     Scheipl.

_R_e_f_e_r_e_n_c_e_s:

     Wegman, E. J. (1990) Hyperdimensional data analysis using parallel
     coordinates. _Journal of the American Statistical Association_
     *85*, 664-675.

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.

_E_x_a_m_p_l_e_s:

     parcoord(state.x77[, c(7, 4, 6, 2, 5, 3)])

     ir <- rbind(iris3[,,1], iris3[,,2], iris3[,,3])
     parcoord(log(ir)[, c(3, 4, 2, 1)], col = 1 + (0:149)%/%50)

