mcoa                  package:ade4                  R Documentation

_M_u_l_t_i_p_l_e _C_O-_i_n_e_r_t_i_a _A_n_a_l_y_s_i_s

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

     performs a multiple CO-inertia analysis,  using an object of class
     'ktab'.

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

     mcoa(X, option = c("inertia", "lambda1", "uniform", "internal"), 
         scannf = TRUE, nf = 3, tol = 1e-07)
     print.mcoa (x, ...)
     summary.mcoa (object, ...)
     plot.mcoa (x, xax = 1, yax = 2, eig.bottom = TRUE, ...)

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

       X: an object of class 'ktab'

  option: a string of characters for the weightings of the arrays
          options :

     "_i_n_e_r_t_i_a" weighting of group k by the inverse of the total inertia
          of the array k

     "_l_a_m_b_d_a_1" weighting of group k by the inverse of the first
          eigenvalue of the k analysis

     "_u_n_i_f_o_r_m" uniform weighting of groups

     "_i_n_t_e_r_n_a_l" weighting included in 'X$tabw' 

  scannf: a logical value indicating whether the eigenvalues bar plot
          should be displayed

      nf: if scannf FALSE, an integer indicating the number of kept
          axes

     tol: a tolerance threshold, an eigenvalue is considered positive
          if it is larger than '-tol*lambda1' where 'lambda1' is the
          largest eigenvalue.

x, object: an object of class 'mcoa'

     ...: further arguments passed to or from other methods

xax, yax: the numbers of the x-axis and the y-axis

eig.bottom: a logical value indicating whether the eigenvalues bar plot
          should be added

_V_a_l_u_e:

     mcoa returns a list of  class 'mcoa' containing : 

pseudoeig: a numeric vector with the all pseudo eigenvalues

    call: the call-up order

      nf: a numeric value indicating the number of kept axes

  SynVar: a data frame with the synthetic scores

    axis: a data frame with the co-inertia axes

     Tli: a data frame with the co-inertia coordinates

     Tl1: a data frame with the co-inertia normed scores

     Tax: a data frame with the inertia axes onto co-inertia axis

     Tco: a data frame with the column coordinates onto synthetic
          scores

      TL: a data frame with the factors for Tli Tl1

      TC: a data frame with the factors for Tco

      T4: a data frame with the factors for Tax

  lambda: a data frame with the all eigenvalues (computed on the
          separate analyses)

    cov2: a numeric vector with the all pseudo eigenvalues (synthetic
          analysis)

_A_u_t_h_o_r(_s):

     Daniel Chessel chessel@biomserv.univ-lyon1.fr

_R_e_f_e_r_e_n_c_e_s:

     Chessel, D. and Hanafi, M. (1996) Analyses de la co-inertie de K
     nuages de points, _Revue de Statistique Applique_, *44*, 35-60.

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

     data(friday87)
     w1 <- data.frame(scale(friday87$fau, scal = FALSE))
     w2 <- ktab.data.frame(w1, friday87$fau.blo, tabnames = friday87$tab.names)
     mcoa1 <- mcoa(w2, "lambda1", scan = FALSE)
     mcoa1
     summary(mcoa1)
     plot(mcoa1)

