tests/testthat/test-shiftarray.R

In ravetools: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data

test_that("Shift array with different types", {
  x0 <- as.integer(1:10)
  x <- matrix(x0, nrow = 2, byrow = TRUE)
  z <- shift_array(x, 2, 1, c(1, 2))
  y <- NA * x
  y[1, 1:4] <- x[1, 2:5]
  y[2, 1:3] <- x[2, 3:5]
  expect_identical(y, z)

  x0 <- as.double(1:10)
  x <- matrix(x0, nrow = 2, byrow = TRUE)
  z <- shift_array(x, 2, 1, c(-2, 1))
  y <- NA * x
  y[1, 3:5] <- x[1, 1:3]
  y[2, 1:4] <- x[2, 2:5]
  expect_identical(y, z)

  x0 <- as.complex(1:10)
  x <- matrix(x0, nrow = 2, byrow = TRUE)
  z <- shift_array(x, 2, 1, c(-2, 1))
  y <- NA * x
  y[1, 3:5] <- x[1, 1:3]
  y[2, 1:4] <- x[2, 2:5]
  expect_identical(y, z)

  x0 <- sample(c(TRUE, FALSE), 10, replace = TRUE)
  x <- matrix(x0, nrow = 2, byrow = TRUE)
  z <- shift_array(x, 2, 1, c(1, 2))
  y <- x
  y[] <- NA
  y[1, 1:4] <- x[1, 2:5]
  y[2, 1:3] <- x[2, 3:5]
  expect_identical(y, z)

})


test_that("Shift array with different arrays", {
  dim <- c(4, 15, 10)
  x <- array(rnorm(prod(dim)), dim)
  shift_amount <- c(2, 10, -3, NA)
  z <- shift_array(
    x,
    along_margin = 3,
    unit_margin = 1,
    shift_amount = shift_amount
  )

  y <- x * NA
  for (ii in 1:3) {
    idx <- shift_amount[ii] + 1:10
    sel <- idx >= 1 & idx <= 10
    y[ii, , sel] <- x[ii, , idx[sel]]
  }
  y[4, , ] <- NA
  expect_identical(y, z)


  shift_amount <- sample(c(-5:5, NA, NA), size = 15, replace = TRUE)
  z <- shift_array(
    x,
    along_margin = 1,
    unit_margin = 2,
    shift_amount = shift_amount
  )

  y <- x * NA
  for (ii in 1:15) {
    idx <- shift_amount[ii] + 1:4
    if (!is.na(shift_amount[ii])) {
      sel <- idx >= 1 & idx <= 4
      y[sel, ii, ] <- x[idx[sel], ii, ]
    }
  }
  expect_identical(y, z)
})