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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.
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