escopage                package:ade4                R Documentation

_K-_t_a_b_l_e_s _o_f _w_i_n_e-_t_a_s_t_i_n_g

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

     This data set describes 27 characteristics of 21 wines distributed
     in four fields :  rest, visual, olfactory and global.

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

     data(escopage)

_F_o_r_m_a_t:

     'escopage' is a list of 3 components.

     _t_a_b is a data frame with 21 observations (wines) and 27 variables. 

     _t_a_b._n_a_m_e_s is the vector of the names of sub-tables : "rest"
          "visual" "olfactory" "global".

     _b_l_o is a vector of the numbers of variables for each sub-table.

_S_o_u_r_c_e:

     Escofier, B. and Pags, J. (1990)  _Analyses factorielles simples
     et multiples : objectifs, mthodes et interprtation_  Dunod,
     Paris. 1-267.

     Escofier, B. and Pags, J. (1994)  Multiple factor analysis
     (AFMULT package).  _Computational Statistics and Data Analysis_,
     *18*, 121-140.

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

     data(escopage)
     w <- data.frame(scale(escopage$tab))
     w <- ktab.data.frame(w, escopage$blo)
     names(w)[1:4] <- escopage$tab.names
     plot(mfa(w, scan = FALSE))

