View source: R/IOPS_Full_ALPHA.R
IOPS | R Documentation |
Takes user inputted trade data, any acceptable ISO country code and industrial value chain mapping to calculate various metrics (Economic- and Product complexity metrics, distance metrics, opportunity gain, and inequality metrics) of a given country in order to facilitate better decision making regarding industrial policymaking.
IOPS( CountryCode, tradeData, ComplexMethod = "eigenvalues", iterCompl = 20, GVCMapping )
CountryCode |
(Type: character/integer) Any accepted ISO country code could be used, e.g. |
tradeData |
(Type: csv) Accepts any CEPII BACI trade data. NOTE: tradeData and GVCMapping must be from the same "H" Family, e.g. both are from H3, etc., in order for the program to work correctly. |
ComplexMethod |
(Type: character) Methods used to calculate complexity measures. Can be any one of these methods: |
iterCompl |
(Type: integer) The number of iterations that the chosen complexity measure must use. Defaults to |
GVCMapping |
(Type: csv) The desired value chain to be analysed. With Columns "Tiers", "Activity", and "HSCode". NOTE: tradeData and GVCMapping must be from the same "H" Family, e.g. both are from H3, etc., in order for the program to work correctly. |
A list that constains ECI, PCI, Opportunity_Gain, distance, density, M_absolute, M_binary, Tier_Results, Product_Category_Results, Product_Results, respectively.
IOPS(CountryCode = 710, tradeData = ExampleTradeData, ComplexMethod = "eigenvalues", iterCompl = 10, GVCMapping = ExampleValueChain)
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