Package index • arkhe

Data Summary

describe(): Data Description

sparsity(): Sparsity

Data Preparation

append_column(): Add a (Named) Vector as a Column

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

Scales

scale_midpoint(): Rescale Continuous Vector (minimum, midpoint, maximum)

scale_range(): Rescale Continuous Vector (minimum, maximum)

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

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

has_length() is_empty(): Attributes Predicates

has_missing() has_infinite() has_duplicates() is_unique(): Utility Predicates

is_square() is_symmetric(): Matrix Predicates

has_names() has_rownames() has_colnames(): Names 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

Validation

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

assert_dim() assert_nrow() assert_ncol(): Check Object Dimensions

assert_empty() assert_filled(): Check Object Filling

assert_infinite(): Check Infinite Values

assert_length() assert_lengths(): Check Object Length(s)

assert_lower() assert_greater(): Check Numeric Relations

assert_missing(): Check Missing Values

assert_names() 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

assert_unique(): Check Duplicates

validate(): Validate a Condition

Utilities

`%+%`: Concatenate

`%||%`: Default value for NULL