Function reference
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compact()compact_cols()compact_rows() - Remove Empty Rows/Columns
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count() - Count Values Using a Predicate
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detect() - Find Rows/Columns Using a Predicate
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discard()discard_cols()discard_rows() - Remove Rows/Columns Using a Predicate
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remove_empty()replace_empty() - Tools for Working With Empty String
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remove_Inf()replace_Inf() - Tools for Working With Infinite Values
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keep()keep_cols()keep_rows() - Keep Rows/Columns Using a Predicate
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remove_NA()replace_NA() - Tools for Working With Missing Values
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remove_constant() - Remove Constant Columns
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remove_zero()replace_zero() - Tools for Working With Zeros
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append_rownames() - Convert Row Names to an Explicit Column
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assign_colnames()assign_rownames() - Assign a Specific Row/Column to the Column/Row Names
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scale_range() - Rescale Continuous Vector
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is_square()is_symmetric() - Matrix Predicates
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is_zero()is_odd()is_even()is_positive()is_negative()is_whole() - Numeric Predicates
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is_scalar_list()is_scalar_atomic()is_scalar_vector()is_scalar_numeric()is_scalar_integer()is_scalar_double()is_scalar_character()is_scalar_logical() - Scalar Type Predicates
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is_constant()is_increasing()is_decreasing()is_greater()is_lower() - Numeric Trend Predicates
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is_list()is_atomic()is_vector()is_numeric()is_integer()is_double()is_character()is_logical()is_error()is_warning()is_message() - Type Predicates
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has_length()has_names()has_duplicates()has_missing()has_infinite()is_empty()is_unique() - Utility Predicates
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assert_empty()assert_filled()assert_length()assert_lengths()assert_dimensions()assert_names()assert_dimnames()assert_rownames()assert_colnames() - Check Object Attributes
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assert_missing()assert_infinite()assert_unique() - Check Data
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assert_symmetric()assert_square() - Check Matrix
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assert_lower()assert_greater() - Check Numeric Relations
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assert_constant()assert_decreasing()assert_increasing() - Check Numeric Trend
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assert_count()assert_whole()assert_positive()assert_negative()assert_odd()assert_even() - Check Numeric Values
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assert_type()assert_scalar()assert_function() - Check Data Types
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needs() - Check the Availability of a Package
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validate() - Validate a Condition
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confidence_binomial() - Confidence Interval for Binomial Proportions
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confidence_mean() - Confidence Interval for a Mean
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confidence_multinomial() - Confidence Interval for Multinomial Proportions
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interval_credible() - Bayesian Credible Interval
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interval_hdr() - Highest Density Regions
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bootstrap() - Bootstrap Estimation
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jackknife() - Jackknife Estimation
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math_gcd() - Greatest Common Divisor
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math_lcm() - Least Common Multiple