Package index • vvauditor

All functions
`assert_date_named()`	Assert Date Value in Column
`assert_field_consistency()`	Check if the fieldnames of the dataset are the same
`assert_field_distinctness()`	Assert Field Uniqueness Consistency Between Data and Metadata
`assert_field_existence()`	Assert Field Existence in New Data
`assert_logical_named()`	Assert Logical Value in Column
`assert_missing_values()`	Assert Consistency of Missing Values in Data
`assert_no_duplicates_in_group()`	Assert No Duplicates in Group
`assert_range_validation()`	Assert Range Validation for Data Fields
`assert_type_consistency()`	Assert Type Consistency Between Data and Metadata
`assertion_message()`	Assert Message Based on Type
`calculate_category_percentages()`	Calculate the percentage of categories in a data vector
`check_double_columns()`	check double columns
`check_duplicates()`	Check for Duplicate Rows in Selected Columns
`check_na_columns()`	Check for columns with only NA values
`check_no_duplicate_rows()`	Check for No Duplicate Rows
`check_no_duplicates_in_group()`	Check for No Duplicates in Group
`check_non_zero_rows()`	Check for Non-Zero Rows
`check_numeric_or_integer_type()`	Check for Numeric or Integer Type
`check_posixct_type()`	Check for POSIXct Type
`check_rows()`	Check rows
`check_zero_columns()`	Check for Columns with Only 0s
`count_more_than_1()`	Count more than 1
`create_categorical_details()`	Create categorical details csv
`create_data_types()`	Create data types tibble
`create_dataset_summary_table()`	Create dataset summary statistics table
`create_field_info()`	Create field info
`create_numeric_details()`	Create numeric details csv
`create_subset_fields()`	Create subset fields
`drop_na_column_names()`	Drop NA column names
`duplicates_in_column()`	Duplicates in column
`find_common_columns()`	Find Common Columns Between Data Frames
`find_maximum_value()`	Find the maximum numeric value in a vector, ignoring non-numeric values
`find_minimum_value()`	Find the minimum numeric value in a vector, ignoring non-numeric values
`find_pattern_r()`	Find pattern in R scripts
`get_distribution_statistics()`	Compute distribution statistics for a numeric vector
`get_first_element_class()`	Retrieve the class of the first element of a vector
`get_values()`	Get values of column
`identify_join_pairs()`	Identify Possible Join Pairs Between Data Frames
`identify_outliers()`	Identify Outliers in a Data Frame Column
`is_unique_column()`	Check if a column in a dataframe has unique values
`md_complete_cases()`	MD complete cases
`regex_content_parameter()`	Construct Regex for Matching Function Parameter Content
`regex_time()`	Generate regular expression of a time.
`regex_year_date()`	Generate regular expression of a year date.
`remove_duplicates_and_na()`	Remove Duplicates and NA Values from Input
`retrieve_function_calls()`	retrieve_function_calls
`retrieve_functions_and_packages()`	Retrieve functions and packages
`retrieve_package_usage()`	Retrieve packages that are loaded in a script
`retrieve_sourced_scripts()`	retrieve_sourced_scripts
`retrieve_string_assignments()`	retrieve_string_assignments
`return_assertions_message()`	Return Assertion Messages
`return_mtcars_testfile()`	Read and return the mtcars testfile
`run_all_assertions()`	Run All Data Validation Assertions
`str_detect_in_file()`	Detect string in file
`test_all_equal()`	Test all equal
`unique_id()`	unique id

Reference

All functions