Nothing
test_that("plot for exponential fit", {
slopes0 <- suppressWarnings(flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "exp_zhao18"
))
slopes0_flag <- suppressMessages(flux_quality(
slopes0,
conc
))
expect_snapshot(
suppressMessages( # because the progress bar is messing with check()
flux_plot(slopes0_flag,
conc,
datetime,
f_plotname = "test_exp_plot",
print_plot = FALSE,
output = "pdfpages"
)
)
)
# the plots are quite heavy so we do not keep them
unlink("f_quality_plots/", recursive = TRUE, force = TRUE)
})
test_that("plot for linear fit", {
slopes30lin_flag <- suppressWarnings(flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "linear",
end_cut = 30
)) |>
flux_quality(
conc
)
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for linear fit",
flux_plot(slopes30lin_flag, conc, datetime)
)
)
})
test_that("plot for linear fit with jpg extension works", {
slopes30lin_flag <- suppressWarnings(flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "linear",
end_cut = 30
)) |>
flux_quality(
conc
)
expect_snapshot(
suppressMessages( # because the progress bar is messing with check()
flux_plot(slopes30lin_flag,
conc,
datetime,
f_plotname = "test_lin_plot",
print_plot = FALSE,
output = "ggsave",
ggsave_args = list(device = "jpg")
)
)
)
# the plots are quite heavy so we do not keep them
unlink("f_quality_plots/", recursive = TRUE, force = TRUE)
})
test_that("plot can be exported as an object", {
slopes30lin_flag <- suppressWarnings(flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "linear",
end_cut = 30
)) |>
flux_quality(
conc
)
plot_object <- flux_plot(slopes30lin_flag, conc, datetime)
vdiffr::expect_doppelganger("plot as an object", plot_object)
})
test_that("plot for exp_tz fit", {
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for exp_tz fit",
flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "exp_tz",
end_cut = 60,
t_zero = 20
) |>
flux_quality(conc) |>
flux_plot(conc, datetime)
)
)
})
test_that("plot for exp_tz fit with mid missing data", {
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for exp_tz fit with mid missing data",
flux_fitting(
co2_conc_mid_missing,
conc,
datetime,
fit_type = "exp_tz",
end_cut = 60,
t_zero = 20
) |>
flux_quality(conc) |>
flux_plot(conc, datetime)
)
)
})
test_that("plot for exp_zhao18 fit with mid missing data", {
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for exp_zhao18 fit with mid missing data",
flux_fitting(
co2_conc_mid_missing,
conc,
datetime,
fit_type = "exp_zhao18",
end_cut = 60,
t_zero = 20
) |>
flux_quality(conc) |>
flux_plot(conc, datetime)
)
)
})
test_that("plot for quadratic fit with mid missing data", {
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for quadratic fit with mid missing data",
flux_fitting(
co2_conc_mid_missing,
conc,
datetime,
fit_type = "quadratic",
end_cut = 60,
t_zero = 20
) |>
flux_quality(conc) |>
flux_plot(conc, datetime)
)
)
})
test_that("plot for exp_hm fit", {
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for exp_hm fit",
flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "exp_hm",
end_cut = 60,
t_zero = 20
) |>
flux_quality(conc) |>
flux_plot(conc, datetime)
)
)
})
test_that("plot for kappamax fit", {
expect_snapshot(
vdiffr::expect_doppelganger(
"plot for kappamax fit",
flux_fitting(
co2_conc,
conc,
datetime,
fit_type = "exp_hm",
end_cut = 30,
t_zero = 10
) |>
flux_quality(
conc,
f_pvalue = f_pvalue_lm,
f_rsquared = f_rsquared_lm,
kappamax = TRUE
) |>
flux_plot(conc, datetime)
)
)
})
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