Package index • whep

Tidy datasets

Get cleaned dataframes with project related data.

build_supply_use(): Supply and use tables

get_bilateral_trade(): Bilateral trade data

get_feed_intake(): Livestock feed intake

get_primary_production(): Primary items production

get_primary_residues(): Crop residue items

get_processing_coefs(): Processed products share factors

get_wide_cbs(): Commodity balance sheet data

Download large input datasets

Fetch large files from external sources and cache them.

whep_read_file(): Download, cache and read files

whep_inputs: External inputs

whep_list_file_versions(): Input file versions

Code namings

Add name columns in dataframes from their codes or viceversa.

Polities

polities: Polities

add_area_code(): Get area codes from area names

add_area_name(): Get area names from area codes

Commodity balance sheet items

items_cbs: Commodity balance sheet items

add_item_cbs_code(): Get commodity balance sheet item codes from item names

add_item_cbs_name(): Get commodity balance sheet item names from item codes

Primary production items

items_prod: Primary production items

add_item_prod_code(): Get production item codes from item names

add_item_prod_name(): Get production item names from item codes

FAOSTAT raw data

Download FAOSTAT data as is.

get_faostat_data(): Scrapes activity_data from FAOSTAT and slightly post-processes it

Data sources

Get a tidy dataframe with the found sources for different data.

expand_trade_sources(): Trade data sources

Gap filling functions

Functions to fill gaps (NA values) in time-dependent variables using different methods.

linear_fill(): Fill gaps by linear interpolation, or carrying forward or backward.

proxy_fill(): Fill gaps using a proxy variable

sum_fill(): Fill gaps summing the previous value of a variable to the value of another variable.