viz_individuals().margin and axes arguments of
viz_ellipses(), viz_tolerance(),
viz_confidence() and viz_hull() were removed.
These values are automatically set from the last call to
viz_rows()/viz_individuals() or
viz_columns()/viz_variables().export() method for PCOA class.wrap_hull(), viz_hull() methods for
PCOA class.wrap_tolerance(), viz_tolerance()
methods for PCOA class.wrap_confidence(), viz_confidence()
methods for PCOA class.biplot().viz_individuals().describe() to quickly describe a
MultivariateAnalysis object.viz_ellipses() to draw tolerance/confidence
ellipses.viz_rows() and viz_individuals() gained a
new ellipse argument to draw tolerance/confidence
ellipses.viz_rows() and viz_individuals() gained a
new hull argument to draw convex hulls.ca(), mca() and pca() gained
a new autodetect argument to enable/disable automatic of
numeric variables.ca(), mca() and pca().loadings().export() to create a Zip archive of all results in
CSV format.pcoa() to compute principal coordinates
analysis.viz_rows()/viz_individuals() and
viz_columns()/viz_variables().hightlight argument of
viz_rows()/viz_individuals() and
viz_columns()/viz_variables().MultivariateAnalysis object.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().
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