Nothing
test_that("plot_dist", {
# coin
coin <- build_example_coin(up_to = "new_coin", quietly = TRUE)
# get codes for P2P group
pcodes <- coin$Meta$Ind$iCode[coin$Meta$Ind$Parent == "P2P"]
pcodes <- pcodes[!is.na(pcodes)]
# test all plot types
for(ptype in c("Box", "Dot", "Violin", "Violindot", "Histogram")){
# make plot
plt <- plot_dist(coin, dset = "Raw", iCodes = "P2P", Level = 1, type = ptype)
# check class
expect_s3_class(plt, "ggplot")
# check correct indicators
expect_setequal(pcodes, unique(plt$data$ind))
# normalised
plt <- plot_dist(coin, dset = "Raw", iCodes = "P2P", Level = 1, type = ptype, normalise = TRUE)
expect_true(all(plt$data$values >= 0 & plt$data$values <= 100))
}
})
test_that("plot_dist", {
# # build example coin
coin <- build_example_coin(up_to = "new_coin")
# dot plot of LPI
plt <- plot_dot(coin, dset = "Raw", iCode = "LPI")
# check class
expect_s3_class(plt, "ggplot")
# check data
iData <- get_dset(coin, dset = "Raw")
# get LPI data
x <- iData$LPI
# check plot data equal to expected
expect_setequal(plt$data$x, x)
# unit labels
plt <- plot_dot(coin, dset = "Raw", iCode = "LPI", usel = c("IND", "JPN"))
# test lables and point positions
expect_setequal(plt$layers[[3]]$aes_params$label, c("IND", "JPN"))
expect_setequal(plt$layers[[2]]$data$x, iData$LPI[iData$uCode %in% c("IND", "JPN")])
# remaining features
plt <- plot_dot(coin, dset = "Raw", iCode = "Flights", usel = c("GBR", "AUS"),
marker_type = 16, add_stat = "median", stat_label = "test1",
show_ticks = FALSE, plabel = "iName+unit", vert_adjust = 0.5)
# pretty much just check obj here
expect_s3_class(plt, "ggplot")
})
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