mjca                   package:ca                   R Documentation

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

     Computation of multiple and joint correspondence analysis.

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

     mjca(obj, nd = 2, lambda = "adjusted", supcol = NA, maxit = 50, epsilon = 0.0001)

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

     obj: A response pattern matrix containing factors.

      nd: Number of dimensions to be included in the output; if NA the
          maximum possible dimensions are included.

  lambda: Gives the scaling method. Possible values include
          "indicator", "Burt", "adjusted" and "JCA". Using 'lambda =
          "JCA"' results in a joint correspondence analysis using
          iterative adjusment of the Burt matrix in the solution space.

   supcol: Indices of supplementary columns.

    maxit: The maximum number of iterations (Joint Correspondence
          Analysis).

  epsilon: A convergence criterion (Joint Correspondence Analysis).

_D_e_t_a_i_l_s:

     The function 'mjca' computes a multiple or joint correspondence
     analysis based on the eigenvalue decomposition of the Burt matrix.

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

sv         : Eigenvalues (lambda = "indicator") or singular values
          (lambda = "Burt", "adjusted" or "JCA") 

lambda     : Scaling method

inertia.e  : Percentages of explained inertia

inertia.t  : Total inertia

inertia.et : Total percentage of explained inertia with the
          'nd'-dimensional solution

levelnames : Names of the factor/level combinations

levels.n   : Number of levels in each factor

nd         : User-specified dimensionality of the solution

nd.max     : Maximum possible dimensionality of the solution

rownames   : Row names

rowmass    : Row masses

rowdist    : Row chi-square distances to centroid

rowinertia : Row inertias

rowcoord   : Row standard coordinates

colnames   : Column names

colmass    : Column masses

coldist    : Column chi-square distances to centroid

colinertia : Column inertias

colcoord   : Column standard coordinates

colsup     : Indices of column supplementary points (of the Burt and
          Indicator matrix)

Burt       : Burt matrix

Burt.upd   : The updated Burt matrix (JCA only)

subinertia : Inertias of sub-matrices

JCA.iter   : Vector of length two containing the number of iterations
          and the epsilon (JCA only)

call       : Return of 'match.call'

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

     'eigen', 'plot.mjca', 'summary.mjca', 'print.mjca'

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

      
     library(MASS)
     data(farms)
     mjca(farms)

     # Joint correspondence analysis:
     mjca(farms, lambda = "JCA")

      

