context("weights")
test_that("weights are normalized", {
x <- rnorm(50)
a <- roll_mean(x, 3, weights = c(1,2,1))
b <- roll_mean(x, 3, weights = c(0.5,1,0.5))
c <- roll_mean(x, 3, weights = c(.1,.2,.1))
expect_equal(a, b)
expect_equal(a, c)
})
test_that("weights are applied to the proper positions", {
x <- rnorm(50)
a <- roll_mean(x, 3, align = "left", weights = c(1,0,0))
b <- roll_mean(x, 3, align = "center", weights = c(0,1,0))
c <- roll_mean(x, 3, align = "right", weights = c(0,0,1))
mask <- !is.na(a) & !is.na(b) & !is.na(c)
# NOTE: testthat complains when we expect_true(a[mask], b[mask])
am <- a[mask]
bm <- b[mask]
cm <- c[mask]
expect_true(all.equal(am, bm))
expect_true(all.equal(am, cm))
})
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