rbind()
method for GroupedComposition
objects.barplot()
gained a new names
argument to hide/display row names.mean()
and condense()
gained two new arguments ignore_na
and ignore_zero
.as.data.frame()
methods for LogRatio
and GroupedLogRatio
class return a data.frame
with variable labels.group_extract()
to group_subset()
.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
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