

mca(MASS)                                    R Documentation

_M_u_l_t_i_p_l_e _C_o_r_r_e_s_p_o_n_d_e_n_c_e _A_n_a_l_y_s_i_s

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

     Computes a multiple correspondence analysis of a set of
     factors.

_U_s_a_g_e_:

     mca(df, nf=2, abbrev=FALSE)

_A_r_g_u_m_e_n_t_s_:

      df: A data frame containing only factors

      nf: The number of dimensions for the MCA. Rarely 3
          might be useful.

  abbrev: Should the vertex names be abbreviated?  By
          default these are of the form "factor.level" but
          if `abbrev=TRUE' they are just "level" which will
          suffice if the factors have distinct levels.

_V_a_l_u_e_:

     An object of class `"mca"', with components

      rs: The coordinates of the rows, in `nf' dimensions.

      cs: The coordinates of the column vertices, one for
          each level of each factor.

      fs: Weights for each row, used to interpolate addi-
          tional factors in `predict.mca'.

       p: The number of factors

       d: The singular values for the `nf' dimensions.

    call: The matched call.

_S_e_e _A_l_s_o_:

     `predict.mca', `plot.mca', `corresp'

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

     data(farms)
     farms.mca <- mca(farms, abbrev=TRUE)
     farms.mca
     plot(farms.mca)

