coleo                  package:ade4                  R Documentation

_T_a_b_l_e _o_f _F_u_z_z_y _B_i_o_l_o_g_i_c_a_l _T_r_a_i_t_s

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

     This data set coleo (coleoptera) is a a fuzzy biological traits
     table.

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

     data(coleo)

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

     'coleo' is a list of 5 components.

     _t_a_b is a data frame with 110 rows (species) and 32 columns
          (categories).

     _s_p_e_c_i_e_s._n_a_m_e_s is a vector of species names.

     _m_o_d_a._n_a_m_e_s is a vector of fuzzy variables names.

     _f_a_m_i_l_i_e_s is a factor species family.

     _c_o_l._b_l_o_c_k_s is a vector containing the number of categories of each
          trait.

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

     Bournaud, M., Richoux, P. and Usseglio-Polatera, P. (1992) An
     approach to the synthesis of qualitative ecological information
     from aquatic coleoptera communities. _Regulated rivers: Research
     and Management_, *7*, 165-180.

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

     data(coleo)
     op <- par(no.readonly = TRUE) 
     coleo.fuzzy <- prep.fuzzy.var(coleo$tab, coleo$col.blocks)
     fca1 <- dudi.fca(coleo.fuzzy, sca = FALSE, nf = 3)
     par(mfrow = c(3,3))
     indica <- factor(rep(names(coleo$col), coleo$col))
     for (j in levels(indica)) s.distri (fca1$l1,
         coleo$tab[,which(indica==j)], clab = 1.5, sub = as.character(j), 
         cell = 0, csta = 0.5, csub = 3, 
         label = coleo$moda.names[which(indica == j)])
     par(op)
     par(mfrow = c(1,1))

