mca                   package:MASS                   R Documentation

Multiple Correspondence Analysis

Description:

     Computes a multiple correspondence analysis of a set of factors.

Usage:

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

Arguments:

      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. 

Value:

     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 additional factors
          in 'predict.mca'. 

       p: The number of factors 

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

    call: The matched call. 

References:

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

See Also:

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

Examples:

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

