butterfly                package:ade4                R Documentation

_G_e_n_e_t_i_c_s-_E_c_o_l_o_g_y-_E_n_v_i_r_o_n_m_e_n_t _T_r_i_p_l_e

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

     This data set contains environmental and genetics informations
     about 16 Euphydryas editha butterfly colonies studied in
     California and Oregon.

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

     data(butterfly)

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

     'butterfly' is a list with 4 components.

     _x_y is a data frame with the two coordinates of the 16 Euphydryas
          editha butterfly colonies. 

     _e_n_v_i_r is a environmental data frame of  16 sites - 4 variables. 

     _g_e_n_e_t is a genetics data frame of 16 sites - 6 allele frequencies. 

     _c_o_n_t_o_u_r is a data frame for background map (California map). 

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

     McKechnie, S.W., Ehrlich, P.R. and White, R.R. (1975)  Population
     genetics of Euphydryas butterflies.  I. Genetic variation and the
     neutrality hypothesis.  _Genetics_, *81*, 571-594.

     Manly, B.F. (1994) _Multivariate Statistical Methods. A primer._
     Second edition. Chapman & Hall, London. 1-215.

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

     data(butterfly)
     par(mfrow = c(2,2))
     s.label(butterfly$xy, contour = butterfly$contour, inc = FALSE)
     table.dist(dist(butterfly$xy), labels = row.names(butterfly$xy)) # depends of mva
     s.value(butterfly$xy, dudi.pca(butterfly$envir, scan = FALSE)$li[,1], 
         contour = butterfly$contour, inc = FALSE, csi = 3)
     plot(mantel.randtest(dist(butterfly$xy), dist(butterfly$gen), 99),
         main = "genetic/spatial")
     par(mfrow = c(1,1))

