describe()
to quickly describe a matrix
-like object.sparsity()
to computes data sparsity (proportion of zeros).palette_color_continuous()
and palette_color_discrete()
for color mapping.palette_shape()
and palette_size()
for symbol shape and size mapping.clean_whitespace()
to remove leading/trailing Whitespace.seek_*()
and get_*()
to find and get rows/columns by names in a data.frame
.compact()
and remove_*()
gained a new verbose
argument to report extra information on progress.needs()
to assert_package()
.%||%
to replace NULL
with a default value.%+%
to concatenate character vectors.scale_range
to rescale a continuous vector to have specified minimum and maximum.na.rm
argument of numeric predicates (so that the length of the output equals the length of the input).remove_constant()
to remove constant columns.remove_empty()
to remove empty strings in a matrix
-like object.replace_empty()
to replace empty strings in a matrix
-like object.to_long()
and wide_to_long()
.math_lcm()
and math_gcd()
to compute the lowest common multiple and the greatest common divisor.interval_hdr()
and interval_credible()
to compute the credible intervals.jackknife()
gained a new argument to apply a function on the leave-one-out values (f
).with_seed()
to evaluate an expression with a temporarily seed.needs()
to check for the availability of a package.assert_unique()
.append_rownames()
to convert row names to an explicit column.assert_positive()
, assert_negative()
, assert_odd()
, assert_even()
, assert_constant()
, assert_decreasing()
, assert_increasing()
, assert_lower()
and assert_greater()
to check numeric
vectors.bootstrap()
for bootstrap estimation.compact()
to remove empty columns/rows in an array-like object.discard()
and keep()
remove/keep rows/columns in an array-like object using a predicate function.to_long()
to transform a matrix
to a long data.frame
.as_long()
, assert_numeric()
, assert_trend()
, assert_relation()
, assert_matrix()
and remove_empty()
.*Matrix
classes and methods.compact()
to discard()
.assign_rownames()
and assign_colnames()
to make a specific row/column the column/row names of a data.frame
.assert_count()
to validate count data (absolute frequencies/integer).count()
to count values by rows/columns according to a given predicate.detect()
to find rows/columns in an array-like object according to a given predicate.compact()
to remove rows/columns in an array-like object according to a given predicate.jackknife()
for jackknife estimation.confidence()
to compute confidence interval for the mean.replace_Inf()
to replace infinite values in a matrix
-like object.replace_zero()
to replace zero in a matrix
-like object.remove_Inf()
to remove infinite values in a matrix
-like object.assert_*()
and validate()
to validate objects.get_dates()
, set_dates()<-
to extract/replace dates
slot.get_terminus()
, set_terminus()<-
, get_tpq()
, set_tpq()<-
, get_taq()
, set_taq()<-
to extract/replace tpq
and taq
slots.summary()
for AbundanceMatrix
objects.AbundanceMatrix
class gained a new slot to store the sample sizes (totals
).AbundanceMatrix
class gained two new slots to store chronological information (dates
, tpq
, taq
).AbundanceSummary
class to store summary of an AbundanceMatrix
object.replace_NA()
to replace missing values.remove_NA()
, remove_zero()
and remove_empty()
to remove missing values, zeros and empty rows/columns in a matrix
.get_samples()
, set_samples()<-
, get_groups()
and set_groups()<-
to extract/replace samples
and groups
slots.OccurrenceMatrix
inheritance (from NumericMatrix
to IntegerMatrix
).AbundanceMatrix
(ambiguous) to CompositionMatrix
.as_abundance()
.SimilarityMatrix
class.as_long()
gained a new reverse
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