io_tidy_wiot: Tidy data from the World Input Output Database

In okrebs/iotr: Obtain, Tidy and Modify Input-Output Tables For Quantitative Economics

Tidy data from the World Input Output Database

Description

Converts raw WIOT table(s) from the 2016 release of the World Input Output Database, usually obtained by a call to io_load_wiot, into a long format tibble, i.e. a 'tidy' data frame.

Usage

io_tidy_wiot(wiot)

Arguments

wiot	A data.frame containing a raw WIOT for one or many years.

Value

Returns one tibble with the WIOT tables converted to a long format

See Also

io_load_wiot for (down)loading WIOT tables

Examples

## Not run: 

library(iotr)

# set cache_dir for WIOD to avoid long download times on every run !!!
cache_dir <- NULL

wiot_raw <- io_load_wiot(cache_dir, years = 2000:2014)

wiot_long <- io_tidy_wiot(wiot_raw)

# get wiot into standard long IO-table format
iot <- dplyr::filter(wiot_long, Country != "TOT", Year == "2014")
iot <-
  dplyr::select(iot,
                origin = Country,
                sector = RNr,
                destination,
                use,
                flow)

iot <- io_rm_negative_vad(iot, category_to_scale = 57)

iot <-
  io_rm_dynamics(iot,
                 dynamic_categories = c(60, 61),
                 category_to_scale = 57)

iot <- io_gen_own_trade(iot, max_replace = 1e-6)


## End(Not run)

okrebs/iotr documentation built on Dec. 12, 2024, 6:20 p.m.