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append_column() to add a named vector as a column
in a data.frame.assert_nrow() and assert_ncol() to
check the number of rows/columns.seek_rows() and seek_columns() gained a
new names argument.assert_type() gained new allow_empty and
allow_null arguments.scale_midpoint to rescale a continuous vector to
have specified minimum, midpoint and maximum.%||% from base on newer versions of R to avoid
conflict messages.palette_*() functions to
khroma.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
argument.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.