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 print.summary.ca(): Fixed scree plot.
Version 0.57 (2014-12-30)
o Fixed bug in print.summary.mcja re columns
o In plot.ca() 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 summary.ca() 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 plot3d.ca.r 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 plot.ca() 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 plot.ca(). 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 plot.ca(), 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 plot.ca(), to provide colors for the point labels, similar to
col for points.