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ReferenceGroups, GroupedComposition
and GroupedLogRatio classes to represent grouped data.group(), ungroup(),
group_levels(), group_names(),
group_indices(), group_rows(),
group_length(), group_size(),
group_extract(), group_split() and
is_grouped() to work with grouped data.transform_lr(), transform_clr(),
transform_alr(), transform_ilr(),
transform_plr() and transform_inverse()
methods for GroupedComposition and
GroupedLogRatio objects.is_composition(), is_logratio() and
is_grouped() to check if an object is from a specific
class.pairs() to display a matrix of ternary plots.as_composition() gained a new autodetect
argument to enable/disable automatic detection of numeric
variables.hist() now produces a single histogram.plot(<LogRatio>) produces a scatter plot instead
of a density plot.plot() method for the
CompositionMatrix class to pairs().LogRatio objects (clr
<-> alr, clr -> ilr, alr -> ilr).condense() to compute compositional mean of data
subsets.pip() to compute proportionality index of
parts.rbind() method for CompositionMatrix
objects.show() methods for LogRatio
objects.is_element_major(),
is_element_minor(), is_element_trace() and
is_oxide() methods for CompositionMatrix
objects.variance() and variance_total() to
compute (total) variance.pca() for LogRatio objects (default
arguments were not passed to the internal method).factor instead of
character.[ always returns a CompositionMatrix
object by default, even if only one row/column is accessed.samples slot in all classes.as_features().metrix_var() and metric_sd().base argument of
transform_ilr().get_totals() and set_totals() to
totals().get_groups() and get_groups() to
groups().outliers() to detect_outlier() and
redefine methods.plot() method for OutlierIndex
object.hist() methods to plot ILR histograms.quantile() methods for compositional data
matrix.split() methods to divide into groups.transform_ilr() gained a new argument allowing the
specify the base of the transformation.barplot() gained a new argument to display a
legend.Depends.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.
Health stats visible at Monitor.