Function reference • pipdata

All functions

add_pip_vars(): Estimate welfare in PPP values (lower level)

add_pip_vars(<default>): default S3 method for add_pip_vars

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

dlw_clean(): Clean data from datalibweb structure (lower level, S2 methods)

dlw_clean(<pipgd>): Clean group data from Datalibweb original file

dlw_clean(<pipmd>): Clean micro data from Datalibweb original file

get_country_pfw(): GEt Country Price framework data based on PFW and DLW data info

get_welfare_ppp(): Defate welfare variable to PPP values

pd_add_pip_vars(): deflate welfare to add_pip_vars (Higher level)

pd_dlw_clean(): Clean data from datalibweb structure (High level)

pd_split_alt_welfare(): Split data based on alternative welfare

pd_wbpip_clean(): Clean data for wbpip compatibility (high level)

.datatable.aware: A package for prepare data to be ingested in PIP pipeline

pipdata_int(): Get path to pipdata original files

ppp_to_wide(): Convert PPP data from pipload to wide format

process_data(): PD: process data. Source: datalibweb

uniq_vars(): Identify unique variables in data frame

uniq_vars_to_attr(): convert variables with unique values along the data set to attrbitus and then remove those unique variables

uniq_vars_to_list(): convert variables with unique values along the data set to attrbitus and then remove those unique variables

update_dlw_inventory(): Prepare DatalibWeb inventory

wbpip_clean(): Clean data to meet wbpip requirements and formats

wbpip_clean(<pipgd>): wbpip_clean method for pipgd class (group data)

wbpip_clean(<pipmd>): wbpip_clean method for pipmd class (microdata)