Comtradrclean: Comtrader data clean

In mrmrmrmrmrmr/network: Analysis of the International Trade Network

Description

This function takes (import) trade data downloaded using the comtradr package, cleans it and transforms it into a network. Adding a number of country level attributes to nodes in the network, including: regional partition, GDP, GDP per capita, GDP growth and FDI. However, it is important to note the limits of using comtradr to construct a network. Firstly when downloading the data, you must specify reporters and partners – yet you cannot put “all” for both – only for either reporters or partners. Then for the other you are limited to a character vector of country names, length five or fewer. Therefore, this will not give you a full network. However, this function can be applied to trade data downloaded from UN Comtrade (download csv and read into R as a dataframe), or any other trade data which is in the same format as the comtradr dataframe.

Usage

Comtradrclean(DF, YEAR, threshold, cutoff)

Arguments

DF	Dataframe of trade data downloaded using the comtradr package
YEAR	Year
threshold	Apply a threshold - TRUE, Extract the backbone - FALSE
cutoff	Threshold - cutoff level, Backbone - significance level

Value

International Trade Network - igraph object

Examples

##download data using comtradr
require(comtradr)

##Download the trade data for tomatoes - code 0702
##All countries, Year - 2016
ex_2 <- ct_search(reporters = "All",
              partners = c("USA","China",
              "Germany","Canada","Mexico"),
              trade_direction = "imports",
              start_date = "2016-01-01",
              end_date = "2016-12-31",
              commod_codes = "0702")

##this then gives a data frame which
##we can clean using the following function:
tomatoesITN<-Comtradrclean(ex_2,2016,TRUE,0.01)

##We apply a threshold - only retaining ties that are at least 0.01%
##of total tomatoes trade (amngst these countries)

mrmrmrmrmrmr/network documentation built on May 14, 2019, 6 a.m.