Nothing
test_that("test-walsby_etr_II generate regression 20240925.csv", {
test_data_file <- file.path(getwd(), "data", "20240925.csv")
data <- read_dual_pam_data(test_data_file)
model_result <- walsby_generate_regression_ETR_II(data)
if (is_supported_os() == FALSE) {
skip("Unsupported operating system for this test.")
}
if (is_debian_or_ubuntu()) {
expect_equal(model_result[["sdiff"]], 13.3218134)
expect_equal(model_result[["etr_max"]], 64.6205229)
expect_equal(model_result[["alpha"]], 0.19796623)
expect_equal(model_result[["beta"]], -0.018109036)
} else if (is_windows()) {
expect_equal(model_result[["sdiff"]], 13.3218134)
expect_equal(model_result[["etr_max"]], 64.6205229)
expect_equal(model_result[["alpha"]], 0.19796623)
expect_equal(model_result[["beta"]], -0.018109036)
}
})
test_that("test-walsby_etr_II control plot 20240925.csv", {
test_data_file <- file.path(getwd(), "data", "20240925.csv")
data <- read_dual_pam_data(test_data_file)
model_result <- walsby_generate_regression_ETR_II(data)
expect_no_warning(
print(
plot_control(
data,
model_result,
"walsby ETR II 20240925.csv",
color_walsby
)
)
)
})
test_that("test-walsby_etr_II generate regression modified 20240925.csv", {
test_data_file <- file.path(getwd(), "data", "20240925.csv")
data <- read_dual_pam_data(test_data_file)
model_result <- walsby_generate_regression_ETR_II(data)
model_result <- walsby_modified(model_result)
if (is_supported_os() == FALSE) {
skip("Unsupported operating system for this test.")
}
if (is_debian_or_ubuntu()) {
expect_equal(model_result[["sdiff"]], 13.3218134)
expect_equal(model_result[["a"]], 64.6205229)
expect_equal(model_result[["b"]], 0.19796623)
expect_equal(model_result[["c"]], -0.018109036)
expect_equal(model_result[["d"]], NA_real_)
expect_equal(model_result[["alpha"]], 0.19796623)
expect_equal(model_result[["beta"]], -0.018109036)
expect_equal(model_result[["etrmax_with_photoinhibition"]], 44.5716344)
expect_equal(model_result[["etrmax_without_photoinhibition"]], 64.6205229)
expect_equal(model_result[["ik_with_photoinhibition"]], 225.14766)
expect_equal(model_result[["ik_without_photoinhibition"]], 326.421945)
expect_equal(model_result[["im_with_photoinhibition"]], 781.0)
expect_equal(model_result[["w"]], NA_real_)
expect_equal(model_result[["ib"]], NA_real_)
expect_equal(model_result[["etrmax_with_without_ratio"]], 1.449812727)
} else if (is_windows()) {
expect_equal(model_result[["sdiff"]], 13.3218134)
expect_equal(model_result[["a"]], 64.6205229)
expect_equal(model_result[["b"]], 0.19796623)
expect_equal(model_result[["c"]], -0.018109036)
expect_equal(model_result[["d"]], NA_real_)
expect_equal(model_result[["alpha"]], 0.19796623)
expect_equal(model_result[["beta"]], -0.018109036)
expect_equal(model_result[["etrmax_with_photoinhibition"]], 44.5716344)
expect_equal(model_result[["etrmax_without_photoinhibition"]], 64.6205229)
expect_equal(model_result[["ik_with_photoinhibition"]], 225.14766)
expect_equal(model_result[["ik_without_photoinhibition"]], 326.421945)
expect_equal(model_result[["im_with_photoinhibition"]], 781.0)
expect_equal(model_result[["w"]], NA_real_)
expect_equal(model_result[["ib"]], NA_real_)
expect_equal(model_result[["etrmax_with_without_ratio"]], 1.449812727)
}
})
test_that("test-walsby_etr_II modified control plot 20240925.csv", {
test_data_file <- file.path(getwd(), "data", "20240925.csv")
data <- read_dual_pam_data(test_data_file)
model_result <- walsby_generate_regression_ETR_II(data)
model_result <- walsby_modified(model_result)
expect_no_warning(
print(
plot_control(
data,
model_result,
"walsby ETR II modified 20240925.csv",
color_walsby
)
)
)
})
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