Package index • lissyrtools

All functions

apply_iqr_top_bottom_coding(): Apply IQR-Based Top and Bottom Coding to LIS/LWS Variables

apply_oecd_equivalisation(): Apply OECD Equivalence Scale to a Variable

apply_ppp_adjustment(): Adjust Monetary Variables for Inflation and PPP

apply_sqrt_equivalisation(): Apply Square-Root Equivalisation to a Variable

bind_lissy_files(): Bind multiple LIS or LWS datasets

compute_atkinson(): Compute Atkinson index.

compute_gini(): Compute gini index.

compute_mean() compute_median() compute_ratio() deprecated: Compute standard indicators.

compute_percentiles() deprecated: Compute percentiles.

compute_poverty_rate(): Compute poverty rate.

compute_weighted_count(): Compute (Weighted) Counts or Percentages for a Categorical Variable

compute_weighted_mean(): Compute (Weighted) Means for a Variable

compute_weighted_percentiles(): Compute Weighted Percentiles or Share of Distribution

data_vars_labels: Variable labels

data_with_warnings: Variable notes

datasets: LIS and LWS datasets

deflators: CPI and PPP deflators.

determine_file_level(): Determine the level of the file

determine_weight(): Determine the name of the weight variable

get_country_specifc_categories(): Retrieve the categories of a country-specific variable in LIS/LWS for a given country.

get_file_lisppp(): Retreive the 'lisppp' deflator for a given file and variable.

get_surveys_lis(): Print the survey used to construct the LIS datasets for a given country.

get_surveys_lws(): Print the survey used to construct the LWS datasets for a given country.

get_vars_label(): Inspect the Labels of LIS and LWS variables

get_years_lis(): Print all the existing years in LIS for a given country.

get_years_lws(): Print all the existing years in LWS for a given country.

iqr_top_bottom_coding(): IQR-Based Top/Bottom Coding for a Single Variable

italy_14_lis_h: Sample Household-Level LIS Dataset (1,000 Rows)

italy_14_lis_p: Sample Individual-Level LIS Dataset (1,000 Rows)

italy_14_lws_h: Sample Household-Level LWS Dataset (1,000 Rows)

italy_14_lws_p: Sample Individual-Level LWS Dataset (1,000 Rows)

lissy_map(): Wrap over 'purrr::imap()' for lissy files

lissyrtools-package lissyrtools: lissyrtools: Functions that can be used within LISSY

lissyuse(): Load data easily and efficiently with lissyuse

merge_dataset_levels() deprecated: Merge household and person-level files

mexico_18_lis_h: Sample Household-Level LIS Dataset (1,000 Rows)

mexico_18_lis_p: Sample Individual-Level LIS Dataset (1,000 Rows)

missing_or_zero_vars_all: Variable Status Data Frame

plot_indicator(): Plot an Indicator.

print_all_lissy_files(): Print all available files

print_atkinson(): Print the Atkinson Index

print_gini(): Print the Gini Coefficient

print_indicator(): Print an indicator

print_percentiles(): Print percentiles.

print_ratio(): Print the Ratio Index

read_lissy_files() deprecated: Read files in LISSY

read_lissy_files_locally() deprecated: Read files locally

read_rename_files(): Rename read files

run_weighted_atkinson(): Compute Weighted Atkinson Across a List of Data Frames

run_weighted_count(): Compute (weighted) counts or percentages from a list of data frames

run_weighted_gini(): Compute Weighted Gini Index Across a List of Data Frames

run_weighted_mean(): Compute Weighted Mean Across a List of Data Frames (with optional grouping)

run_weighted_percentiles(): Compute Weighted Percentiles cross a List of Data Frames (with optional grouping)

run_weighted_poverty_gap_index(): Compute the Poverty Gap Index

run_weighted_poverty_shortfall(): Compute the Weighted Poverty Gap (Shortfall)

run_weighted_ratios(): Compute Percentile Ratios

run_weighted_relative_poverty(): Compute Relative Poverty Rate

show_countries_lis(): Print all the country code in LIS

show_countries_lws(): Print all the country code in LWS

structure_to_plot(): Transform Structured Data Lists into a Tidy Data Frame for Plotting

transform_adjust_by_lisppp(): Adjust aggregates by LIS PPPs

transform_equivalise(): Equivalise by number of household members.

transform_equivalise_oecd(): Equivalise with the OECD scale

transform_false_zeros_to_na(): Recode zeros into missing values if all values are zero

transform_filter_age(): Filter a sample by age

transform_negative_values_to_zero(): Recode negative values to zero

transform_restrict_age(): Filter a variable by age

transform_restrict_to_household_heads(): Filter a variable for household heads

transform_top_code_with_iqr() transform_bottom_code_with_iqr(): Apply top or bottom coding with log IQR

transform_weight_by_hh_size(): Multiply by household size

transform_zeros_to_na(): Recodes zeros into missing values

united_states_16_lis_h: Sample Household-Level LIS Dataset (1,000 Rows)

united_states_16_lis_p: Sample Individual-Level LIS Dataset (1,000 Rows)

united_states_16_lws_h: Sample Household-Level LWS Dataset (1,000 Rows)

united_states_16_lws_p: Sample Individual-Level LWS Dataset (1,000 Rows)

value_label_c_data: Value Labels for Country-Specific Variables in LIS and LWS Datasets

variable_exists(): Inspect whether a given variable contains more than just non-missing or non-zero values for a selected group of countries in the LIS or LWS databases.

variable_has_note(): Verify if a given variable has a note, for a selected group of countries, in LIS or LWS databases.