context("test-r-metabolic.R")
test_that("RMR calculations are correct", {
expect_equal(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "female",
equation = "mifflin"
),
1514,
tolerance = 0.1
)
expect_equal(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "male",
equation = "harris-benedict"
),
1727,
tolerance = 0.1
)
expect_equal(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "female",
equation = "harris-benedict"
),
1517,
tolerance = 0.1
)
expect_equal(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "male",
equation = "revised-harris-benedict"
),
1720,
tolerance = 0.1
)
expect_equal(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "female",
equation = "revised-harris-benedict"
),
1523,
tolerance = 0.1
)
expect_equal(calculate_rmr(
weight = 70,
equation = "katch-mcardle",
bfp = 14.5
),
1663,
tolerance = 0.1)
expect_equal(
calculate_rmr(
weight = 70,
equation = "katch-mcardle-hybrid",
bfp = 14.5
),
1672,
tolerance = 0.1
)
expect_equal(calculate_rmr(
weight = 70,
equation = "cunningham",
bfp = 14.5
),
1817,
tolerance = 0.1)
expect_error(calculate_rmr(equation = "fantasy-equation"))
expect_error(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "nothing",
equation = "harris-benedict"
)
)
# Expect error when equation is revised-harris-benedict and sex is not correct
expect_error(
calculate_rmr(
weight = 70,
height = 180,
age = 30,
sex = "unknown",
equation = "revised-harris-benedict"
)
)
})
test_that("calculate_mean_rmr works like it should", {
expect_true(is.data.frame(
calculate_mean_rmr(
weight = 80,
height = 187,
age = 27,
sex = "male",
bfp = 14
)
))
expect_equal(class(
calculate_mean_rmr(
weight = 80,
height = 187,
age = 27,
sex = "male",
bfp = 14
)
),
c("tbl_df", "tbl", "data.frame"))
# TODO(MJABOER): Fix test below:
# expect_equal(
# calculate_mean_rmr(
# weight = 80,
# height = 187,
# age = 27,
# sex = "male",
# bfp = 14
# ),
# structure(list(Equation = c("mifflin", "harris-benedict", "revised-harris-benedict",
# "katch-mcardle", "katch-mcardle-hybrid", "cunningham", "mean"
# ), RMR = c(1838.75, 1919.8331, 1904.256, 1856.08, 1873.384, 2013.6,
# 1900.98385)), row.names = c(NA, -7L), class = c("tbl_df", "tbl",
# "data.frame"))
# )
})
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