rpjdl                  package:ade4                  R Documentation

_A_v_i_f_a_u_n_a _a_n_d _V_e_g_e_t_a_t_i_o_n

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

     This data set gives the abundance of 52 species and 8
     environmental variables  in 182 sites.

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

     data(rpjdl)

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

     'rpjdl' is a list of 5 components.

     _f_a_u is the faunistic array of 182 sites (rows) and 52 species
          (columns).

     _m_i_l is the array of environmental variables : 182 sites and 8
          variables.

     _f_r_l_a_b is a vector of the names of species in French.

     _l_a_l_a_b is a vector of the names of species in Latin.

     _l_a_b is a vector of the simplified labels of species.

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

     Prodon, R. and Lebreton, J.D. (1981) Breeding avifauna of a
     Mediterranean succession : the holm oak and cork oak series in the
     eastern Pyrnes. 1 : Analysis and modelling of the structure
     gradient. _Okos_, *37*, 21-38.

     Lebreton, J. D., Chessel D., Prodon R. and Yoccoz N. (1988)
     L'analyse des relations espces-milieu par l'analyse canonique des
     correspondances. I. Variables de milieu quantitatives. _Acta
     Oecologica, Oecologia Generalis_, *9*, 53-67.

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

     ## Not run: 
     data(rpjdl)
     xy <- dudi.coa(rpjdl$fau, scann = FALSE)$l1
     s.distri(xy, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)

     xy1 <- dudi.pca(rpjdl$fau, scal = FALSE, scann = FALSE)$l1
     s.distri(xy1, rpjdl$fau, 2, 1, cstar = 0.3, cell = 0)

     cca1 <- cca(rpjdl$fau, rpjdl$mil, scan = FALSE)
     plot(cca1)

     ## End(Not run)

