library(cdms.products)
library(dplyr)
library(ggplot2)
library(tidyr)
niger50 <- daily_niger %>%
dplyr::filter(year == 1950)
agades <- niger50 %>%
dplyr::filter(station_name == "Agades")
# test_that("single element facet by station graphs are correct", {
# t1 <- histogram_plot(data = niger50, date_time = "date", elements = "tmax",
# station = "station_name", facet_by = "stations")
# r1 <- ggplot(niger50, aes(x = date, y = tmax)) +
# geom_bar(stat = "identity") +
# facet_wrap(vars(station_name))
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("single element single station graphs are correct", {
# t1 <- histogram_plot(data = agades, date_time = "date", elements = "tmax",
# facet_by = "none")
# r1 <- ggplot(agades, aes(x = date, y = tmax, colour = "#F8766D", fill = "#F8766D")) +
# geom_bar(stat = "identity")
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("single element colour by station no facet graphs are correct", {
# t1 <- histogram_plot(data = niger50, date_time = "date", elements = "tmax",
# station = "station_name", facet_by = "none")
# r1 <- ggplot(niger50, aes(x = date, y = tmax, colour = station_name, fill = station_name)) +
# geom_bar(stat = "identity")
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("multiple element single station graphs are correct", {
# t1 <- histogram_plot(data = agades, date_time = "date",
# elements = c("tmin", "tmax"),
# facet_by = "none")
# d1 <- agades %>%
# pivot_longer(c(tmin, tmax), names_to = "element")
# r1 <- ggplot(d1, aes(x = date, y = value, colour = element, fill = element)) +
# geom_bar(stat = "identity")
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("multiple element single station facet by elements graphs are correct", {
# t1 <- histogram_plot(data = agades, date_time = "date",
# elements = c("tmin", "tmax"),
# facet_by = "elements")
# d1 <- agades %>%
# pivot_longer(c(tmin, tmax), names_to = "element")
# r1 <- ggplot(d1, aes(x = date, y = value)) +
# geom_bar(stat = "identity") +
# facet_wrap(vars(element))
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("multiple element & multiple stations with both as facet_by graphs are correct", {
# t1 <- histogram_plot(data = niger50, date_time = "date",
# station = "station_name",
# elements = c("tmin", "tmax"),
# facet_by = "stations-elements")
# d1 <- niger50 %>%
# pivot_longer(c(tmin, tmax), names_to = "element")
# r1 <- ggplot(d1, aes(x = date, y = value)) +
# geom_bar(stat = "identity") +
# facet_grid(vars(station_name), vars(element))
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("multiple element & multiple stations facet by elements graphs are correct", {
# t1 <- histogram_plot(data = niger50, date_time = "date",
# station = "station_name",
# elements = c("tmin", "tmax"),
# facet_by = "elements")
# d1 <- niger50 %>%
# pivot_longer(c(tmin, tmax), names_to = "element")
# r1 <- ggplot(d1, aes(x = date, y = value, colour = station_name)) +
# geom_bar(stat = "identity") +
# facet_wrap(vars(element))
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("multiple element & multiple stations facet by stations graphs are correct", {
# t1 <- histogram_plot(data = niger50, date_time = "date",
# station = "station_name",
# elements = c("tmin", "tmax"),
# facet_by = "stations")
# d1 <- niger50 %>%
# pivot_longer(c(tmin, tmax), names_to = "element")
# r1 <- ggplot(d1, aes(x = date, y = value, colour = element)) +
# geom_bar(stat = "identity") +
# facet_wrap(vars(station_name))
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("multiple element & multiple stations no facet graphs are correct", {
# t1 <- histogram_plot(data = niger50, date_time = "date",
# station = "station_name",
# elements = c("tmin", "tmax"),
# facet_by = "none")
# d1 <- niger50 %>%
# pivot_longer(c(tmin, tmax), names_to = "element") %>%
# mutate(station_elements = paste(station_name, element, sep = "_"))
# r1 <- ggplot(d1, aes(x = date, y = value, colour = station_elements)) +
# geom_bar(stat = "identity")
# expect_equal(gg_data(t1), gg_data(r1))
# })
#
# test_that("points, LOBF, path and step are correctly added", {
# t1_points <- histogram_plot(data = agades, date_time = "date",
# facet_by = "none",
# elements = "tmin", add_points = TRUE)
# t1_lobf <- histogram_plot(data = agades, date_time = "date",
# facet_by = "none",
# elements = "tmin", add_line_of_best_fit = TRUE)
# t1_path <- histogram_plot(data = agades, date_time = "date",
# facet_by = "none",
# elements = "tmin", add_path = TRUE)
# t1_step <- histogram_plot(data = agades, date_time = "date",
# facet_by = "none",
# elements = "tmin", add_step = TRUE)
# r1 <- ggplot(agades, aes(x = date, y = tmin)) +
# geom_bar(stat = "identity")
# r1_points <- r1 + geom_point()
# r1_lobf <- r1 + geom_smooth(method = "lm", formula = y ~ x)
# r1_path <- r1 + geom_path()
# r1_step <- r1 + geom_step()
#
# expect_equal(gg_data(t1_points), gg_data(r1_points))
# expect_equal(gg_data(t1_lobf), gg_data(r1_lobf))
# expect_equal(gg_data(t1_path), gg_data(r1_path))
# expect_equal(gg_data(t1_step), gg_data(r1_step))
# })
#
# test_that("facet warning is displayed", {
# expect_warning(histogram_plot(data = niger50, date_time = "date", elements = "tmax",
# facet_by = "stations"))
# })
#
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