Package index • govhr

All functions

add_contract_to_event(): Add Contract Information to Event Records
bra_hrmis: Brazilian Public Employee Payroll Data
bra_hrmis_allowance: Brazil HRMIS Allowance Module
bra_hrmis_contract: HRMIS Contract Dataset
bra_hrmis_est: HRMIS Establishment Dataset
bra_hrmis_personnel: HRMIS Personnel Dataset
calculate_date_intervals(): Calculate time intervals between reference dates
check_orphan_id(): Detect Orphan Records Between Parent and Child Modules
classify_personnel_event(): Classify Personnel Movement Events
classify_text(): Classify free-text items against a user-supplied taxonomy using TF-IDF
clean_hr_data(): Apply Standard HR Data Cleaning Pipeline
cofog_taxonomy: COFOG Functional Classification Taxonomy
compare_names_qc(): Compare the contents of two character vectors
compare_to_dictionary(): Compare Dataset Variable Names Against a Dictionary
complete_columns(): Complete columns in a dataframe
complete_dates(): Complete Panel Data by Identifier and Reference Dates
compute_baseline_index(): Compute index values relative to base year
compute_compression_ratio(): Function to compute the compression ratio
compute_cross_section(): Compute Cross-Section Summary Table
compute_density(): Function to compute the distribution function of a variable.
compute_fastchange(): Calculate year-over-year growth for a numeric column
compute_fastshare(): Compute ratio indicators of summarized variables over macro indicators
compute_fastsummary(): Compute Fast Summary Statistics by Group
compute_growth(): Compute Growth Rate Summary Table
compute_hrmreport_stats(): Compute Core HRMIS Analytical Tables
compute_movement_cost(): Function to compute the total cost associated with personnel movements.
compute_pension_ratio(): Compute Ratio of Last Salary to First Pension for Retired Workers
compute_qualitycontrol(): Compute Comprehensive Quality Control Checks for Harmonized HRMIS Data
compute_quantile(): Function to compute quantiles of a measure column within groups and reference dates.
compute_time_trend(): Compute time trend
compute_volatility(): Compute Volatility Measures Over Time
compute_wagebill(): Compute wage bill aggregates with optional macro-fiscal shares
contract_rules: Contract Validation Rules
convert_constant_ppp(): Convert nominal wages to real PPP-adjusted wages (2021 base year)
convert_data(): Convert Data to Match Original Class
count_unique(): Count Unique Non-Missing Values
countryclass: World Bank Country and Lending Groups
cp_ratio(): Compute a Compression Ratio Between Two Percentiles
cv(): Compute the Coefficient of Variation (CV)
dedup_value_panel(): Deduplicate and disambiguate an attribute using both lag and lead values
dedup_values(): Deduplicate values within grouped data
deflate_to_real(): Deflate a nominal LCU column to real values
detect_career_transitions(): Detect Career Transitions Based on Contract Attributes
detect_inconsistent_cols(): Detect Inconsistent Columns in a Data Frame
detect_personnel_event(): Detect Personnel Events
detect_reallocation(): Detect Personnel Reallocation Events
detect_retirement(): Detect Personnel Retirement Events
dictionary: Harmonization Dictionary for Payroll and HRMIS Data
enterprise_surveys: World Bank Enterprise Surveys
estimate_exit_rates(): Estimate Historical Non-Retirement Exit Rates from Panel Data
fastcount(): Fast counting via dtplyr
fastprop(): Compute group-wise proportions from counts
find_duplicate_ids(): Find Duplicate Identifiers in a Data Frame
find_inconsistent_colnames(): Identify inconsistent column names across data frames
fix_invalid_birthdates(): Fix Invalid Birth Dates
fix_invalid_dates(): Fix Invalid Reference Dates
fix_negative_salaries(): Fix Negative Salary Values
fix_retirement_age(): Flag or Adjust Over-Retirement-Age Workers
fix_salary_components(): Fix Salary Component Inconsistencies
fix_underage_workers(): Flag or Remove Underage Workers
fix_working_hours(): Fix Invalid Working Hours
flag_outlier(): Flag outliers based on the IQR rule
flatten_volatility(): Flatten a nested volatility list into a single labelled data.table
generate_hr_report(): Generate Standard HR Analytics Report
generate_qc_report(): Generate Quality Control Report for HR Data
get_data360_api(): This function retrieves data from the Data360 API.
get_metadata360(): Retrieve dataset metadata from the World Bank Data360 API
ggplot_coef(): Plot model coefficients with confidence intervals
ggplot_point_line(): Plot grouped line chart with labeled points
ggplot_segment(): Plot segments overlaid with points, ordered by median
guess_date_frequency(): Guess the Reporting Frequency of the Reference Dates
harmonize_columns(): Harmonize column names based on a dictionary
isco: International Standard Classification of Occupations (ISCO-08)
macro_indicators: Macro-level World Bank WDI indicators
personnel_rules: Personnel Validation Rules
pivot_data360(): Pivot Data360 dataset to wide format
project_retirement(): Project Retirement Dates
remove_duplicate_contracts(): Remove Duplicate Contract Records
remove_duplicate_personnel(): Remove Duplicate Personnel Records
rescale_baseline(): Rescale to Baseline Index
sample_group(): Sample groups and return all rows for those groups
social_sustainability: Social Sustainability Global Database
validate_data(): Validate Data Quality Using Rule-Based Framework
wwbi: Worldwide Bureaucracy Indicators