Reference

All functions

adjust_population()

Adjust microdata to WDI population levels when the number of reporting levels is equal or greater than 2

create_cache_file()

Cache survey data

db_clean_aux()

Clean auxiliary data

db_clean_data()

Clean survey data

db_compute_dist_stats()

Calculate distributional statistics

db_compute_lorenz()

Compute Lorenz

db_compute_survey_mean()

Calculate survey means

db_create_censoring_table()

Create censoring table

db_create_coverage_table()

Create coverage tables

db_create_decomposition_table()

Create decomposition table

db_create_dist_table()

Create distributional statistics table

db_create_dsm_table()

Create deflated survey mean table

db_create_gd_svy_mean_table()

Create table with grouped data survey means

db_create_lcu_table()

Create survey mean table (LCU)

db_create_metadata_table()

Create metadata table

db_create_ref_estimation_table()

Create reference estimation table

db_create_ref_year_table()

Create reference year table

db_create_reg_pop_table()

Create regional population table

db_create_svy_estimation_table()

Create survey estimation table

db_filter_inventory()

Filter inventory

db_ppp_list()

Create generic list of PPP version according the ppp year, release version and adaptation version

delete_old_file()

Delete cache files that are no longer in use

find_new_svy_data()

Find which data is not available in cache folder or has changed SVY ID

pip_update_cache_inventory()

Update correspondence inventory file

ppp_filter()

Filter PPP data from using the structure of pipload::pip_load_aux("ppp")

process_svy_data_to_cache()

Process survey data to cache file

save_aux_data()

Save auxiliary data.

save_survey_data()

Save survey data

ts_cache_read_ok()

Check that all cache files load correctly

uniq_vars_to_attr()

convert variagles with unique values along the data set to attrbitus and then remove those unique variables