Function reference • pipload

All functions

add_gls_to_env(): Add gls list to the global envirnment. To be used in zzz.R in other packages

as_pip(): Assign PIP class to object

as_pipgd(): Add pipgd class for group data

as_pipid(): Add pipid class for imputed data

as_pipmd(): Add pipmd class for microdata

assign_pipclass(): assign correct class to DLW data

check_and_create(): check vintage version and create

create_cond() create_cond(): CReate conditions for filtering

create_dir(): Check if path is fs_path and then create folder

create_vintage(): Create output directory name

data_to_df(): Convert origianl dta files to data frame format suitable for PIP

data_to_dt(): Convert origianl dta files to data frame format suitable for PIP

pip_add_aux_labels(): Title

pip_create_globals(): Create global variables for PIP data management

pip_find_cache(): Find cache data based on patterns

pip_find_data(): Find surveys available in PIP drive

pip_find_dlw(): Find surveys available for DatalibWeb

pip_inventory(): Load or Update PIP microdata inventory. Wrapper of function pip_load_inventory and pip_update_inventory

pip_keep_pc_module(): Make sure we keep only one module per survey ID when loading.

pip_keep_pc_source(): Make sure we keep only one module per survey ID when loading.

pip_load_all_aux(): Load all auxiliary files in memory

pip_load_aux(): Load any auxiliary data

pip_load_cache(): Load cache data

pip_load_cache_inventory(): Load cache inventory

pip_load_data(): Load PIP microdata in different way

pip_load_dlw(): Loads datalibweb data

pip_load_dlw_inventory(): Prepare DatalibWeb inventory

pip_load_inventory(): Load inventory of welfare aggregate datasets

pip_load_results(): Load PIP pre-calculated data sets

pip_update_inventory(): Update PIP microdata inventory

read_by_format(): read file dependin on format and convert to data.table

survey_id_to_vars(): take variable survey_id and split it into different vars