Nothing
context("Differencing multiple time series")
test_that("d only contains non-negative integers", {
y <- matrix(rnorm(10), nrow = 5, ncol = 2)
d <- c(1, -1)
expect_error(diff_mult(y, d))
d <- c(1, 1.1)
expect_error(diff_mult(y, d))
})
test_that("dimensions work", {
y <- matrix(rnorm(15), nrow = 5, ncol = 3)
d <- rep(1, 4)
expect_error(diff_mult(y, d))
expect_error(diff_mult(y, d[1:2]))
})
test_that("differencing works", {
x <- rep(1, 10)
y <- cbind(x, cumsum(x), cumsum(cumsum(x)))
colnames(y) <- c("I0", "I1", "I2")
d <- 0:2
xx <- matrix(x, nrow = length(x), ncol = 3)
xx[1, 2] <- NA
xx[1:2, 3] <- NA
colnames(xx) <- colnames(y)
expect_identical(diff_mult(y, d), xx)
expect_identical(diff_mult(y, d, keep_NAs = FALSE), xx[-(1:2), ])
})
test_that("class is kept", {
x <- rep(1, 10)
y <- cbind(x, cumsum(x), cumsum(cumsum(x)))
colnames(y) <- c("I0", "I1", "I2")
y <- ts(y, start = 2011)
y2 <- data.frame(y)
rownames(y2) <- 2011:2020
colnames(y2) <- colnames(y)
d <- 0:2
xx <- matrix(x, nrow = length(x), ncol = 3)
xx[1, 2] <- NA
xx[1:2, 3] <- NA
colnames(xx) <- colnames(y)
xx <- ts(xx, start = 2011)
xx2 <- data.frame(xx)
rownames(xx2) <- 2011:2020
colnames(xx2) <- colnames(y)
expect_identical(diff_mult(y, d), xx)
expect_identical(diff_mult(y, d, keep_NAs = FALSE), xx[-(1:2), ])
expect_identical(diff_mult(y2, d), xx2)
expect_identical(diff_mult(y2, d, keep_NAs = FALSE), xx2[-(1:2), ])
})
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