Nothing
test_that("Differentiation of splines work", {
# Cubic splines are a special case for differentiation, since
# the function created by R also can take it's own derivative.
Data <- tibble(
x = 1:10,
y = rnorm(length(x))
)
fspline <- mosaic::spliner(y ~ x, data = Data)
dx_fspline <- D(fspline(z) ~ z)
# These work in the console but not when running test suite
#expect_equal(formals(dx_fspline)$deriv, 1)
dxx_fspline <- D(fspline(z) ~ z & z)
#expect_equal(formals(dxx_fspline)$deriv, 2)
#dxxx_fspline <- D(fspline(x) ~ x & x & x)
#expect_equal(formals(dxxx_fspline)$deriv, 3)
dxy_fspline <- D(fspline(x) ~ x & y)
expect_equal(dxy_fspline(3.232), 0)
dy_fspline <- D(fspline(x) ~ y)
expect_equal(dy_fspline(3.232), 0)
})
test_that("Can integrate splines.", {
f <- mosaic::connector(x ~ t, data = Robot_stations)
capF <- antiD(f(t) ~ t)
newf <- D(capF(t) ~ t) # differentiating the integral gives the original
expect_that(abs(f(3) - newf(3)), is_less_than(0.1))
expect_that(abs(f(5) - newf(5)), is_less_than(0.1))
})
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