Nothing
# ===================================================
# Reps In Reserve
# ===================================================
check_RIR_adjustment <- function(model = "epley", ...) {
reps <- seq(1, 50, length.out = 100)
# Ballistic version of the max-reps table should be equal to double reps grinding
expect_equal(
get_perc_1RM(reps * 2, "RIR", model, adjustment = 0, mfactor = 1, ...),
get_perc_1RM(reps, "RIR", model, adjustment = 0, mfactor = 2, ...)
)
expect_equal(
get_perc_1RM(reps, "RIR", model, adjustment = 0, mfactor = 1, ...),
get_perc_1RM(reps / 2, "RIR", model, adjustment = 0, mfactor = 2, ...)
)
# Ballistic version of the max-reps table should be equal to double reps grinding
# In this case that is achieved by using RIR of same number as number of reps
expect_equal(
get_perc_1RM(reps, "RIR", model, adjustment = reps, mfactor = 1, ...),
get_perc_1RM(reps, "RIR", model, adjustment = 0, mfactor = 2, ...)
)
# When using RIR, double reps should be equal to using RIR of number of reps
# For example, 10RM (10 reps at 0RIR) is equal to 5 reps with 5RIR
# Grinding
expect_equal(
get_perc_1RM(reps, "RIR", model, adjustment = reps, mfactor = 1, ...),
get_perc_1RM(reps * 2, "RIR", model, adjustment = 0, mfactor = 1, ...)
)
# Ballistic
expect_equal(
get_perc_1RM(reps, "RIR", model, adjustment = reps, mfactor = 2, ...),
get_perc_1RM(reps * 2, "RIR", model, adjustment = 0, mfactor = 2, ...)
)
}
# ----------------------------------------------------
test_that("RIR adjustment works for Epley model", {
check_RIR_adjustment("epley")
for (k in seq(0.01, 0.08, length.out = 50)) {
check_RIR_adjustment("epley", k)
}
})
test_that("RIR adjustment works for Modified Epley model", {
check_RIR_adjustment("modified epley")
for (kmod in seq(0.01, 0.08, length.out = 50)) {
check_RIR_adjustment("modified epley", kmod)
}
})
test_that("RIR adjustment works for Linear model", {
check_RIR_adjustment("linear")
for (klin in seq(20, 40, length.out = 50)) {
check_RIR_adjustment("linear", klin)
}
})
# ===================================================
# Deducted Intensity
# ===================================================
check_DI_adjustment <- function(model = "epley", ...) {
params <- expand.grid(
reps = seq(1, 50, length.out = 20),
adjustment = seq(0, -0.5, length.out = 20),
mfactor = seq(1, 3, length.out = 20)
)
# DI is simply deducting intensity
expect_equal(
get_perc_1RM(params$reps, "DI", model, params$adjustment, mfactor = params$mfactor, ...),
get_perc_1RM(params$reps, "DI", model, adjustment = 0, mfactor = params$mfactor, ...) + params$adjustment
)
}
# ----------------------------------------------------
test_that("DI adjustment works for Epley model", {
check_DI_adjustment("epley")
for (k in seq(0.01, 0.08, length.out = 50)) {
check_DI_adjustment("epley", k)
}
})
test_that("DI adjustment works for Modified Epley model", {
check_DI_adjustment("modified epley")
for (kmod in seq(0.01, 0.08, length.out = 50)) {
check_DI_adjustment("modified epley", kmod)
}
})
test_that("DI adjustment works for Linear model", {
check_DI_adjustment("linear")
for (klin in seq(20, 40, length.out = 50)) {
check_DI_adjustment("linear", klin)
}
})
# ===================================================
# Relative Intensity
# ===================================================
check_RI_adjustment <- function(model = "epley", ...) {
params <- expand.grid(
reps = seq(1, 50, length.out = 20),
adjustment = seq(1, 0.5, length.out = 20),
mfactor = seq(1, 3, length.out = 20)
)
# RI is simply relative intensity
expect_equal(
get_perc_1RM(params$reps, "RelInt", model, params$adjustment, mfactor = params$mfactor, ...),
get_perc_1RM(params$reps, "RelInt", model, adjustment = 1, mfactor = params$mfactor, ...) * params$adjustment
)
}
# ----------------------------------------------------
test_that("RI adjustment works for Epley model", {
check_RI_adjustment("epley")
for (k in seq(0.01, 0.08, length.out = 50)) {
check_RI_adjustment("epley", k)
}
})
test_that("RI adjustment works for Modified Epley model", {
check_RI_adjustment("modified epley")
for (kmod in seq(0.01, 0.08, length.out = 50)) {
check_RI_adjustment("modified epley", kmod)
}
})
test_that("RI adjustment works for Linear model", {
check_RI_adjustment("linear")
for (klin in seq(20, 40, length.out = 50)) {
check_RI_adjustment("linear", klin)
}
})
# ===================================================
# % Max Reps
# ===================================================
check_perc_MR_adjustment <- function(model = "epley", ...) {
params <- expand.grid(
reps = seq(1, 50, length.out = 20),
adjustment = seq(1, 0.2, length.out = 20),
mfactor = seq(1, 3, length.out = 20)
)
# Should be the same as adjusting the reps
expect_equal(
get_perc_1RM(params$reps, "%MR", model, params$adjustment, mfactor = params$mfactor, ...),
get_perc_1RM(params$reps / params$adjustment, "%MR", model, adjustment = 1, mfactor = params$mfactor, ...)
)
}
# ----------------------------------------------------
test_that("%MR adjustment works for Epley model", {
check_perc_MR_adjustment("epley")
for (k in seq(0.01, 0.08, length.out = 50)) {
check_perc_MR_adjustment("epley", k)
}
})
test_that("%MR adjustment works for Modified Epley model", {
check_perc_MR_adjustment("modified epley")
for (kmod in seq(0.01, 0.08, length.out = 50)) {
check_perc_MR_adjustment("modified epley", kmod)
}
})
test_that("%MR adjustment works for Linear model", {
check_perc_MR_adjustment("linear")
for (klin in seq(20, 40, length.out = 50)) {
check_perc_MR_adjustment("linear", klin)
}
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.