High-Performance Open-Source Archive
boxplot() methods for LogRatio and
GroupedLogRatio classes.group_factor().plot() method for GroupedLogRatio
class.rbind() method for GroupedComposition
class.group() now preserves ordered factor.group_length() to group_n().palette_color and palette_symbol
arguments of barplot(), pairs() and
plot() with color and
symbol.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 classes (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
class.show() method for LogRatio class.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 class (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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