Nothing
test_that("Denominate.df", {
# Get a sample of indicator data (note must be indicators plus a "UnitCode" column)
iData <- ASEM_iData[c("uCode", "Goods", "Flights", "LPI")]
# Also get some denominator data
denoms <- ASEM_iData[c("uCode", "GDP", "Population")]
# specify how to denominate
denomby <- data.frame(iCode = c("Goods", "Flights"),
Denominator = c("GDP", "Population"),
ScaleFactor = c(1, 1000))
# Denominate one by the other
xd <- Denominate(iData, denoms, denomby)
# Now repeat manually...
x_m <- merge(iData, denoms, by = "uCode", sort = FALSE)
# check denom
expect_equal(xd$Goods, x_m$Goods/x_m$GDP)
# check scale fac
expect_equal(xd$Flights, x_m$Flights/x_m$Population*1000)
# check no denom
expect_equal(xd$LPI, x_m$LPI)
})
test_that("Denom.coin", {
# build example coin
coin <- build_example_coin(up_to = "new_coin", quietly = TRUE)
# denominate (here, we only need to say which dset to use, takes
# specs and denominators from within the coin)
coin <- Denominate(coin, dset = "Raw")
xd <- get_dset(coin, "Denominated")
# Now test...
# get raw dset
xraw <- get_dset(coin, "Raw")
# get specs
iMeta <- coin$Meta$Ind
iMeta <- iMeta[!is.na(iMeta$Denominator), ]
# get denoms
denoms <- coin$Meta$Unit
# since the previous test demonstrates that df method works, we can use that
xd2 <- Denominate(xraw, denoms = denoms, denomby = iMeta)
expect_equal(xd, xd2)
})
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