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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.