spider                package:mvpart                R Documentation

_S_p_i_d_e_r _D_a_t_a

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

     The 'spider' data frame has 28 rows and 18 columns.  The first 12
     columns are abundances of different species of spiders and the
     next 6 are environmental data.

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

     data(spider)

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

     This data frame contains the following columns:

     '_a_r_c_t._l_u_t_e, _p_a_r_d._l_u_g_u, _z_o_r_a._s_p_i_n, _p_a_r_d._n_i_g_r, _p_a_r_d._p_u_l_l,  _a_u_l_o._a_l_b_i, _t_r_o_c._t_e_r_r, _a_l_o_p._c_u_n_e, _p_a_r_d._m_o_n_t, _a_l_o_p._a_c_c_e,  _a_l_o_p._f_a_b_r, _a_r_c_t._p_e_r_i ' numer
          ic vectors giving the abundances of 12 species of spider

     '_w_a_t_e_r, _s_a_n_d, _m_o_s_s, _r_e_f_t, _t_w_i_g_s, _h_e_r_b_s' numeric vectors giving the
          values of 6 environmental characteristics

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

     Van der Aart, P. J. and N. Smeeck-Enserink. 1975.  Correlations
     between distributions of hunting spiders (Lycosidae, Ctenidae) 
     and environmental characteristics in a dune area.   Netherlands
     Journal of Zoology. 25:1-45.

     These data were analysed using multivariate trees in De'ath, G.
     2002. Multivariate Regression Trees:  A New Technique for
     Modelling Species-Environment Relationships. Ecology.
     83(4):1103-1117

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

     data(spider)
     fit<-mvpart(as.matrix(spider[,1:12])~water+twigs+reft+herbs+moss+sand,spider)
     summary(fit)

