Function reference • arkhe

Data summary

describe(): Data Description

sparsity(): Sparsity

Data Preparation

append_rownames(): Convert Row Names to an Explicit Column

assign_colnames() assign_rownames(): Assign a Specific Row/Column to the Column/Row Names

compact() compact_cols() compact_rows(): Remove Empty Rows/Columns

count(): Count Values Using a Predicate

detect(): Find Rows/Columns Using a Predicate

discard() discard_cols() discard_rows(): Remove Rows/Columns Using a Predicate

get_columns() get_rows(): Get Rows/Columns by Name

keep() keep_cols() keep_rows(): Keep Rows/Columns Using a Predicate

seek_columns() seek_rows(): Search Rows/Columns by Name

Data Cleaning

clean_whitespace(): Remove Leading/Trailing Whitespace

remove_Inf(): Remove Rows/Columns with Infinite Values

remove_NA(): Remove Rows/Columns with Missing Values

remove_constant(): Remove Constant Columns

remove_empty(): Remove Rows/Columns with Empty String

remove_zero(): Remove Rows/Columns with Zeros

replace_Inf(): Replace Infinite Values

replace_NA(): Replace Missing Values

replace_empty(): Replace Empty String

replace_zero(): Replace Zeros

Data transformation

scale_range(): Rescale Continuous Vector

Statistics

confidence_binomial(): Confidence Interval for Binomial Proportions

confidence_mean(): Confidence Interval for a Mean

confidence_multinomial(): Confidence Interval for Multinomial Proportions

interval_credible(): Bayesian Credible Interval

interval_hdr(): Highest Density Regions

Resampling

bootstrap(): Bootstrap Estimation

jackknife(): Jackknife Estimation

Mathematics

math_gcd(): Greatest Common Divisor

math_lcm(): Least Common Multiple

Palettes

palette_color_continuous() palette_color_discrete(): Color Mapping

palette_shape(): Symbol Mapping

palette_size(): Symbol Size Mapping

Predicates

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

is_square() is_symmetric(): Matrix Predicates

is_zero() is_odd() is_even() is_positive() is_negative() is_whole(): Numeric Predicates

is_constant() is_increasing() is_decreasing() is_greater() is_lower(): Numeric Trend Predicates

is_list() is_atomic() is_vector() is_numeric() is_integer() is_double() is_character() is_logical() is_error() is_warning() is_message(): Type Predicates

has_length() is_empty() has_names() has_missing() has_infinite() is_unique() has_duplicates(): Utility Predicates

Validation

assert_constant() assert_decreasing() assert_increasing(): Check Numeric Trend

assert_missing() assert_infinite() assert_unique(): Check Data

assert_length() assert_lengths() assert_empty() assert_filled() assert_dimensions(): Check Object Length/Dimensions

assert_lower() assert_greater(): Check Numeric Relations

assert_names() assert_dimnames() assert_rownames() assert_colnames(): Check Object Names

assert_count() assert_whole() assert_positive() assert_negative() assert_odd() assert_even(): Check Numeric Values

assert_package() needs(): Check the Availability of a Package

assert_square() assert_symmetric(): Check Matrix

assert_type() assert_scalar() assert_function(): Check Data Types

validate(): Validate a Condition

Utilities

`%+%`: Concatenate

`%||%`: Default value for NULL