library(earthquake)
# Load, clean and filter data.
data("earthquakes")
earthquakes <- earthquakes %>%
eq_clean_data() %>%
eq_location_clean() %>%
eq_select_data() %>%
eq_filter_data(countries = c("Indonesia", "Japan", "Russia"),
minimum_date = "2000-01-01",
maximum_date = "2018-12-31")
context("geom_timeline")
test_that("Timeline plot", {
g <- ggplot2::ggplot(data = earthquakes, ggplot2::aes(x = DATE, y = COUNTRY)) +
geom_timeline(xmin = "2000-01-01", xmax = "2018-12-31",
ggplot2::aes(color = TOTAL_DEATHS, size = EQ_PRIMARY)) +
ggplot2::labs(title = "NOAA Significant Earthquakes",
subtitle = "Plot of events for Indonesia, Japan and Russia on individual timelines.",
x = "Timeline",
y = "",
color = "Total Deaths",
size = "Magnitude")
plot_data <- g$data
# Source data is used correctly.
expect_equal(plot_data, earthquakes)
# Plot has a two layers.
expect_equal(length(g$layers), 1)
})
context("geom_timeline_label")
test_that("Timeline labels", {
g <- ggplot2::ggplot(data = earthquakes, ggplot2::aes(x = DATE)) +
geom_timeline(xmin = "2000-01-01", xmax = "2018-12-31",
ggplot2::aes(color = TOTAL_DEATHS, size = EQ_PRIMARY)) +
geom_timeline_label(n_max = 5,
ggplot2::aes(label = LOCATION_NAME, magnitude = EQ_PRIMARY)) +
ggplot2::labs(title = "NOAA Significant Earthquakes",
subtitle = "Plot of events for Indonesia, Japan and Russia combined.",
x = "Timeline",
y = "",
color = "Total Deaths",
size = "Magnitude")
plot_data <- g$data
# Source data is used correctly.
expect_equal(plot_data, earthquakes)
# Plot has a second layer for labels.
expect_equal(length(g$layers), 2)
})
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