histprod             package:SensoMineR             R Documentation

_H_i_s_t_o_g_r_a_m _f_o_r _e_a_c_h _d_e_s_c_r_i_p_t_o_r

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

     Computes automatically histograms for a set of quantitative
     variables.

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

     histprod(donnee, firstvar, lastvar = ncol(donnee), numr = 2, 
         numc = 2, adjust = 1)

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

  donnee: a data frame

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 histograms per row (by default 2)

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

  adjust: the bandwidth used is actually 'adjust*bw'. This makes it
          easy to specify values like "half the default" bandwidth.

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

     Displays histograms with a common Y-axis as well as the local
     estimator of the density for each descriptor, hence the 'adjust'
     parameter to fill in. Displays also the normal distribution with
     mean and variance the respective values estimated for each
     descriptor.

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

     Sbastien L

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

     'density', 'hist'

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

     data(chocolates)
     histprod(sensochoc, firstvar = 5, lastvar = 10)

