farms                  package:MASS                  R Documentation

_E_c_o_l_o_g_i_c_a_l _F_a_c_t_o_r_s _i_n _F_a_r_m _M_a_n_a_g_e_m_e_n_t

_D_e_s_c_r_i_p_t_i_o_n:

     The 'farms' data frame has 20 rows and 4 columns. The rows are
     farms on the Dutch island of Terschelling and the columns are
     factors describing the management of grassland.

_U_s_a_g_e:

     farms

_F_o_r_m_a_t:

     This data frame contains the following columns:

     '_M_o_i_s' Five levels of soil moisture - level 3 does not occur at
          these 20 farms.

     '_M_a_n_a_g' Grassland management type ('SF' = standard, 'BF' =
          biological, 'HF' = hobby farming, 'NM' = nature
          conservation).

     '_U_s_e' Grassland use ('U1' = hay production, 'U2' = intermediate,
          'U3' = grazing)

     '_M_a_n_u_r_e' Manure usage - classes 'C0' to 'C4'.

_S_o_u_r_c_e:

     J.C. Gower and D.J. Hand (1996) _Biplots_. Chapman & Hall, Table
     4.6.

     Quoted as from:
      R.H.G. Jongman, C.J.F. ter Braak and O.F.R. van Tongeren (1987)
     _Data Analysis in Community and Landscape Ecology._ PUDOC,
     Wageningen

_R_e_f_e_r_e_n_c_e_s:

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.

_E_x_a_m_p_l_e_s:

     farms.mca <- mca(farms, abbrev = TRUE)  # Use levels as names
     eqscplot(farms.mca$cs, type = "n")
     text(farms.mca$rs, cex = 0.7)
     text(farms.mca$cs, labels = dimnames(farms.mca$cs)[[1]], cex = 0.7)

