Nothing
test_that("compare_coins", {
# build full example coin
coin <- build_example_coin(quietly = TRUE)
# copy coin
coin2 <- coin
# change to prank function (percentile ranks)
# we don't need to specify any additional parameters (f_n_para) here
coin2$Log$Normalise$global_specs <- list(f_n = "n_prank")
# regenerate
coin2 <- Regen(coin2)
# compare index, sort by absolute rank difference
df_comp <- compare_coins(coin, coin2, dset = "Aggregated", iCode = "Index",
sort_by = "Abs.diff", decreasing = TRUE)
iData1 <- get_dset(coin, dset = "Aggregated")
iData2 <- get_dset(coin2, dset = "Aggregated")
# check cols
expect_setequal(df_comp$uCode,
iData1$uCode)
# merge rank cols manually
df_comp$coin.1.check <- rank(-1*iData1$Index[match(df_comp$uCode, iData1$uCode)], ties.method = "min")
df_comp$coin.2.check <- rank(-1*iData2$Index[match(df_comp$uCode, iData2$uCode)], ties.method = "min")
# check rank cols
expect_equal(df_comp$coin.1, df_comp$coin.1.check)
expect_equal(df_comp$coin.2, df_comp$coin.2.check)
# another example with other options
df_comp <- compare_coins(coin, coin2, dset = "Aggregated", iCode = "Index", also_get = "uName",
sort_by = "uName", decreasing = FALSE, compare_by = "scores")
expect_true("uName" %in% names(df_comp))
# merge score cols manually
df_comp$coin.1.check <- iData1$Index[match(df_comp$uCode, iData1$uCode)]
df_comp$coin.2.check <- iData2$Index[match(df_comp$uCode, iData2$uCode)]
# check
expect_equal(df_comp$coin.1, df_comp$coin.1.check)
expect_equal(df_comp$coin.2, df_comp$coin.2.check)
})
test_that("compare_multi", {
# build full example coin
coin <- build_example_coin(quietly = TRUE)
# copy coin
coin2 <- coin
# change to prank function (percentile ranks)
# we don't need to specify any additional parameters (f_n_para) here
coin2$Log$Normalise$global_specs <- list(f_n = "n_prank")
# regenerate
coin2 <- Regen(coin2)
# copy coin
coin3 <- coin
# we do a case where the coin is the same, to check for zero diff.
df_comp <- compare_coins_multi(list(c1 = coin, c2 = coin2, c3 = coin3), dset = "Aggregated",
iCode = "Conn", also_get = "GDP_group")
expect_s3_class(df_comp, "data.frame")
expect_equal(df_comp$c1, df_comp$c3)
iData1 <- get_dset(coin, dset = "Aggregated")
iData2 <- get_dset(coin2, dset = "Aggregated")
iData3 <- get_dset(coin3, dset = "Aggregated")
# merge rank cols manually
df_comp$c1.check <- rank(-1*iData1$Conn[match(df_comp$uCode, iData1$uCode)], ties.method = "min")
df_comp$c2.check <- rank(-1*iData2$Conn[match(df_comp$uCode, iData2$uCode)], ties.method = "min")
df_comp$c3.check <- rank(-1*iData3$Conn[match(df_comp$uCode, iData3$uCode)], ties.method = "min")
# check rank cols
expect_equal(df_comp$coin.1, df_comp$coin.1.check)
expect_equal(df_comp$coin.2, df_comp$coin.2.check)
expect_equal(df_comp$c1, df_comp$c1.check)
expect_equal(df_comp$c2, df_comp$c2.check)
expect_equal(df_comp$c3, df_comp$c3.check)
# test for all types
l_comp <- compare_coins_multi(list(c1 = coin, c2 = coin2, c3 = coin3), dset = "Aggregated",
iCode = "Conn", also_get = "GDP_group", tabtype = "All")
expect_setequal(names(l_comp), c("Values", "Diffs", "AbsDiffs"))
expect_true(all(sapply(l_comp, is.data.frame)))
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.