Nothing
test_that("qNormalise", {
# normalise ASEM data
iData <- ASEM_iData[c("uCode", na.omit(ASEM_iMeta$iCode[ASEM_iMeta$Level == 1]))]
directions <- na.omit(ASEM_iMeta[ASEM_iMeta$Level == 1, c("iCode", "Direction")])
# df method
dfnorm <- qNormalise(iData[names(iData) != "uCode"], directions = directions)
expect_equal(nrow(dfnorm), nrow(iData))
expect_equal(ncol(dfnorm), ncol(iData) - 1)
# expect data on [0, 100] interval
expect_true(all(sapply(dfnorm, max, na.rm = TRUE) == 100))
expect_true(all(sapply(dfnorm, min, na.rm = TRUE) == 0))
# coin method
coin <- build_example_coin(up_to = "new_coin", quietly = TRUE)
coin <- qNormalise(coin, dset = "Raw")
# extract data
dfnorm_coin <- get_data(coin, dset = "Normalised")
# to compare we need to order rows
dfnorm <- cbind(uCode = iData$uCode, dfnorm)
dfnorm <- dfnorm[match(dfnorm_coin$uCode, dfnorm$uCode) ,]
# check
expect_equal(dfnorm_coin, dfnorm, ignore_attr = TRUE)
# purse method
purse <- build_example_purse(up_to = "new_coin", quietly = TRUE)
purse <- qNormalise(purse, dset = "Raw", global = FALSE)
# should see same dsets
for (ii in 1:nrow(purse)){
# get raw
dfraw <- get_dset(purse, dset = "Raw", Time = purse$Time[ii], also_get = "none")
# get normalised
dfnor <- get_dset(purse, dset = "Normalised", Time = purse$Time[ii], also_get = "none")
# manual normalisation
dfnor2 <- qNormalise(dfraw, directions = directions)
# check
expect_equal(dfnor, dfnor2, ignore_attr = TRUE)
}
})
test_that("qTreat",{
# DF METHOD
# select three indicators
df1 <- ASEM_iData[c("Flights", "Goods", "Services")]
# treat data frame, changing winmax and skew/kurtosis limits
l_treat <- qTreat(df1, winmax = 1, skew_thresh = 1.5, kurt_thresh = 3)
expect_setequal(names(l_treat), c("x_treat", "Dets_Table", "Treated_Points"))
expect_equal(nrow(l_treat$x_treat), nrow(df1))
expect_equal(ncol(l_treat$x_treat), ncol(df1))
# mainly just test that corresponds to main Treat() function, which is tested itself
l_treat2 <- Treat(df1, global_specs = list(f1_para = list(winmax = 1,
skew_thresh = 1.5,
kurt_thresh = 3),
f_pass_para = list(skew_thresh = 1.5,
kurt_thresh = 3)))
expect_equal(l_treat, l_treat2)
# COIN METHOD
coin <- build_example_coin(up_to = "new_coin", quietly = TRUE)
# quick treat
coin1 <- qTreat(coin, dset = "Raw", winmax = 3)
# full Treat
coin2 <- Treat(coin, dset = "Raw", global_specs = list(f1_para = list(winmax = 3)))
expect_equal(coin1$Data, coin2$Data)
# PURSE METHOD
purse <- build_example_purse(up_to = "new_coin", quietly = TRUE)
purse1 <- qTreat(purse, dset = "Raw", winmax = 2)
purse2 <- Treat(purse, dset = "Raw", global_specs = list(f1_para = list(winmax = 3)))
for(ii in 1:nrow(purse)){
expect_equal(purse1$coin[[ii]]$Data$Treated, purse1$coin[[ii]]$Data$Treated)
}
})
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