R: Data Checker for Validating Data Frames Against Defined Schema

# Data Checker for Validating Data Frames Against Defined Schema

## Documentation for package ‘data.checker’ version 2.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

add_check | Add a custom check to the validator
add_check_custom | Add a custom check to the validator
add_qa_entry | Add a QA Entry to the validator's QA Log
check | Validate a Validator Object
check_and_export | Validate data against a schema and output results
check_backseries | Check backseries consistency
check_colnames | Check Column Names against schema
check_column_contents | Check Column Contents against schema and checks
check_completeness | Check dataset for missing columns
check_duplicates | Check for duplicate rows. Can use subset of columns to check for duplicates if 'duplicates_cols' is specified in the schema. Otherwise, all columns are used for duplicate check.
check_schema_contents_against_df | Check schema contents against the data frame provided
check_types | Check Column Types and Classes
export | Generic export function
export.Validator | Export Validator Log
hard_checks_status | Check the status of errors and warnings in the validator log
iqr_bounds | Flag outliers based on Interquartile Range (IQR). Outliers are flagged if they are below Q1 - (mulitplier * IQR) or above Q3 + (multiplier * IQR).
is_column_contents_valid | Check column contents valid
is_type_valid | Check type of column in schema is valid
is_valid_column_values | Check that max values are not less than min values in column schema
is_valid_schema | Check if the schema is valid
log_html | Generate HTML Representation of a Log
log_pointblank_outcomes | Log pointblank validation outcomes to a validator log
log_to_table | Convert Validator Log to Table
new_validator | Validator Constructor
print.Validator | Print Validator Log
run_checks | Run column checks
types_to_classes | Convert complex types to the correct types and classes
validate_and_convert_date_formats | Validate date formats in the schema This function checks that any date formats specified in the schema are valid and can be parsed correctly.
z_score | Check Z Score of Numeric Columns