ca                    package:ca                    R Documentation

_S_i_m_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:

     Computation of simple correspondence analysis.

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

     ca(obj, nd = NA, suprow = NA, supcol = NA, 
        subsetrow = NA, subsetcol = NA)

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

obj      : A two-way table of non-negative data, usually frequencies.

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

suprow   : Indices of supplementary rows.

supcol   : Indices of supplementary columns.

subsetrow: Row indices of subset.

subsetcol: Column indices of subset.

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

     The function 'ca' computes a simple correspondence analysis based
     on the  singular value decomposition.
      The options 'suprow' and 'supcol' allow supplementary (passive)
     rows and columns to be specified.  Using the options 'subsetrow'
     and/or 'subsetcol' result in a subset CA being performed.

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

sv        : Singular values

nd        : Dimenson of the solution

rownames  : Row names

rowmass   : Row masses

rowdist   : Row chi-square distances to centroid

rowinertia: Row inertias

rowcoord  : Row standard coordinates

rowsup    : Indices of row supplementary points

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

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

     Nenadic, O. and Greenacre, M. (2007). Correspondence analysis in
     R, with two- and three-dimensional graphics: The ca package.
     Journal of Statistical Software, 20 (3), available at <URL:
     http://www.jstatsoft.org/v20/i03/>
      Greenacre, M. (2007). Correspondence Analysis in Practice. Second
     Edition. Chapman & Hall / CRC, London.
      Blasius, J. and Greenacre, M. J. (1994), Computation of
     correspondence analysis,  in ``Correspondence Analysis in the
     Social Sciences'', pp. 53-75, Academic Press,  London.
      Greenacre, M.J. and Pardo, R. (2006), Subset correspondence
     analysis: visualizing relationships among a selected set of
     response categories from a questionnaire survey. Sociological
     Methods and Research, 35, pp. 193-218.

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

     'svd', 'plot.ca', 'plot3d.ca', 'summary.ca', 'print.ca'

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

      
     data(author)
     ca(author)
     plot(ca(author))
      

