Skip to contents

Build primary item prices

Source: R/prices.R
build_primary_prices.Rd

Compute prices for primary production items. Export trade prices are preferred; when unavailable, production value prices (gross production value divided by quantity) are used as fallback. Gaps are filled via linear interpolation.

Usage

build_primary_prices(
  primary_prod,
  value_of_production = NULL,
  trade_prices = NULL,
  example = FALSE
)

Arguments

primary_prod

A tibble of primary production, as returned by build_primary_production() or get_primary_production().

value_of_production

A data frame with FAOSTAT Value of Production data. Must contain columns Item.Code (or item_code_prod), Element, Unit, Year, Value, Area.Code (or area_code). If NULL, only trade prices are used.

trade_prices

A tibble as returned by build_trade_prices(). If NULL, it is computed internally.

example

Logical. If TRUE, return a small example tibble. Default FALSE.

Value

A tibble with columns:

  • year: Integer year.

  • item_prod_code: Numeric production item code.

  • price: Price in KDollars per tonne.

Examples

build_primary_prices(example = TRUE)
#> # A tibble: 10 × 3
#>     year item_prod_code price
#>    <int>          <int> <dbl>
#>  1  2010             15 0.292
#>  2  2015             15 0.21 
#>  3  2010             56 0.255
#>  4  2015             56 0.185
#>  5  2010            236 0.41 
#>  6  2015            236 0.347
#>  7  2010             31 0.395
#>  8  2015             31 0.422
#>  9  2018            406 0.33 
#> 10  2018            486 0.18