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viz_individuals() and viz_row().viz_individuals(), viz_row(), viz_variables() and viz_columns().viz_individuals(), viz_row(), viz_variables() and viz_columns().predict() method for MCA.viz_individuals(), viz_row(), viz_variables() and viz_columns() only display labels of the 10 observations contributing the most to the factorial map.viz_contributions() displays the expected average contribution.pca() gained a new argument to specify supplementary qualitative variables.plot_*() methods are now defunct (deprecated in v0.4.0).cdt() to compute the complete disjunctive table of a factor table.burt() to compute the Burt table of a factor table.mca() to compute multiple correspondence analysis.biplot() allows to produce a symetric CA biplot.biplot().biplot().... after required arguments.viz_individuals(), viz_row(), viz_variables(), viz_columns() and biplot() gained new arguments allowing set the x and y limits of the plot.screeplot() to produce a scree plot.viz_*() methods to replace plot_*() methods.plot_*() methods. The internal use of ggplot2 is poorly interoperable or composable. This will reduces hard dependencies.rownames() and colnames() for S3 generic/method consistency.biplot() to produce PCA and CA biplots.plot_individuals() and plot_variables() methods for PCA class.tidy() and augment() to get coordinates in tidy format with extra information.wrap_hull() to compute convex hull around coordinates.stat_hull() (thanks to ggplot2 documentation)plot_rows and plot_columns() gained new arguments allowing to highlight additional information by varying different graphical elements.get_coordinates() gained a new argument allowing to select principal or standard coordinates.plot() methods for PCA and CA classes.bootstrap() and jackknife() methods for numeric and integer vectors.bootstrap() and jackknife() methods for numeric and integer vectors.BootstrapVector and JackknifeVector classes to store bootstrap and jackknife resampling values (inherit from base numeric).build_results(). When initializing a MultivariateResults object with supplementary observations, the row names of the standard and contributions matrices were incorrect (computation moves all supplementary points at the end of the results).bootstrap() for partial bootstrap analysis.BootstrapCA and BootstrapPCA: S4 classes to store partial bootstrap analysis.plot_individuals() and plot_variables() to plot_rows() and plot_columns().plot_eigenvalues().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.