Simple, Multiple and Joint Correspondence Analysis

Computation and visualization of simple, multiple and joint correspondence analysis.


Version 0.71 (2018-10-10) o S3 method issue with fixed

Version 0.70 (2016-12-11) o Fixed a number of issues with supplementary points/subset analyses

Version 0.65 (2016-05-15) o Fixed issue wirth subset MCA (computing row coordinates gave an error 'Error in (Z/Q) %*% [...]') o Added row-and columnnames for returned matrices (indicator, Burt, 'subinertia') in MCA o Fixed a (rare) issue with JCA and a subset not containing columns from all original factors

Version 0.64 (2016-01-17) o mjca() with 'supcol!=NA':

  • Fixed Mass, ChiDist and Inertia values in print method.
  • Fixed contributions in summary method.
    o mjca() with 'subsetcol!=NA' and 'lambda=JCA':
  • Fixed warnings message ('In rep(1:Q.sub ...)') o Fixed row output for 'lambda!="indicator"' in mjca (rows were previously referring to the Burt matrix, now rows are from the original data) o Added cacoord() for extracting CA/MCA coordinates (standard/principal coordinates, and row-/column configurations for plotting) o Added caconv() for converting between CA/MCA data types (frequency tables, indicator/response pattern/Burt matrices) o mjca() has been made an S3 generic, with data.frame, table, and array methods o added .arrows() to draw nicer arrows with arrows=TRUE in and plot.mjca() o gains a lwd= argument for arrows and lines o Updated mjca.Rd with details of lambda= argument o Added multilines() for nicer mjca plots o plot.mcja gains a collabels= argument determining the form of column labels

Version 0.61 (2015-05-18) o Fixed problem with nd='fixed value' in ca

Version 0.60 (2015-03-01) o Temporarily enabled plotting rows in plot.mjca o Use requireNamespace("rgl") in to avoid NOTE in R CMD check

Version 0.59 (2015-01-29)

Version 0.58 (2014-12-31) o mjca(): Added option 'reti' (logical, if TRUE returns the indicator matrix as $indmat). o mjca(): Fixed potentially negative eigenvalues (numerical issue; negative ev's are set to zero). o mjca(): Burt matrices ($Burt) now with row- and columnnames. o Fixed scree plot.

Version 0.57 (2014-12-30) o Fixed bug in print.summary.mcja re columns o In and plot.mjca(), for labels=(1,1), don't offset the labels from the points

Version 0.56 (2014-11-04) o Begin to assign dimnames to matrices from ca() and mjca()--- for now, just the coordinates matrices o mjca() now returns an additional component, factors, containing factor names and levels, to facilitate plotting and manipulation. This can be used to customize the color, symbols, and labels in plots. o gains rows= and columns= arguments that can be used like scree= to suppress parts of the output. o summary.mjca() gains a similar columns= argument o Fixed calls to rgl functions in to avoid 'no global binding' warnings. o Fixed bug in plot.mcja() with dimension percentages for lambda="adjusted"

Version 0.55 (2014-03-09) o and plot.mjca() now provide sensible default xlab and ylab o mjca() now accepts a table object as input, using internal expand.dft o ca() has been made generic, accepting input in the form of matrices, data frames (coerced to frequency tables), objects of class "xtabs" or "table" and one-sided formulae of the form ~ F1 + F2, where F1 and F2 are factors.

Version 0.54 (2014-01-05) o Added xlab=, ylab= and lines= arguments to The function now returns an invisible result containing the row and column coordinates calculated internally for the plot, for use in additional plot annotation. o Added xlab=, ylab= arguments to plot.mjca(). The function now returns an invisible result containing the row and column coordinates calculated internally for the plot, for use in additional plot annotation. o For, the defaults for xlab= and ylab= were changed from "" to "auto", meaning that the axis labels are auto-generated to be of the form "Dimension X (xx.xx%)" in conformance with other dimension reduction plots. o Added col.lab argument to, to provide colors for the point labels, similar to col for points.

Reference manual

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0.71.1 by Oleg Nenadic, 2 years ago

Browse source code at

Authors: Michael Greenacre [aut] , Oleg Nenadic [aut, cre] , Michael Friendly [ctb]

Documentation:   PDF Manual  

Task views: Multivariate Statistics, Psychometric Models and Methods

GPL license

Suggests rgl, vcd

Imported by CAinterprTools, RcmdrPlugin.temis, clustrd, idm, inpdfr, vcdExtra, visae.

Depended on by easyCODA.

Suggested by PBImisc, TextMiningGUI, VARSEDIG, archdata, factoextra, quanteda.textmodels.

See at CRAN