Nothing
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()
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