boxprod              package:SensoMineR              R Documentation

_B_o_x_p_l_o_t _p_e_r _c_a_t_e_g_o_r_y _w_i_t_h _r_e_s_p_e_c_t _t_o _a _c_a_t_e_g_o_r_i_c_a_l _v_a_r_i_a_b_l_e _a_n_d _a _s_e_t _o_f _q_u_a_n_t_i_t_a_t_i_v_e _v_a_r_i_a_b_l_e_s

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

     Returns as many boxplots as there are categories for a given
     categorical variable of interest (in most cases, the _product_
     variable). The boxplots are automatically generated for all the
     quantitative variables  (in our type of applications, variables
     are often sensory descriptors).

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

     boxprod(donnee, col.p, firstvar, lastvar = ncol(donnee), 
         numr = 2, numc = 2)

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

  donnee: a data frame

   col.p: the position of the categorical variable of interest

firstvar: the position of the first endogenous variable

 lastvar: the position of the last endogenous variable (by default the
          last column of 'donnee')

    numr: the number of boxplots per row (by default 2)

    numc: the number of boxplots per column (by default 2)

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

     Missing values are ignored when forming boxplots.

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

     Franois Husson Franois.Husson@agrocampus-rennes.fr 
      Sbastien L Sebastien.Le@agrocampus-rennes.fr

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

     Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) _The New S
     Language_. Wadsworth & Brooks/Cole.
      Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A.
     (1983) _Graphical Methods for Data Analysis_. Wadsworth &
     Brooks/Cole.

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

     'boxplot' which does the computation, 'bxp' for the plotting and
     more examples; and 'stripchart'  for an alternative (with small
     data sets).

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

     data(chocolates)
     boxprod(sensochoc, col.p = 4, firstvar = 5, numr = 2, numc = 2)

