Nothing
context('lambert functionality')
## LambertW package doesn't work quite right on linux and
# solaris machines (it uses too many threads)
skip_on_os("linux")
skip_on_os("solaris")
data(iris)
train <- iris$Petal.Width
lambert_obj <- lambert(train)
test_that('lambert Transforms original data consistently' , {
expect_equal(lambert_obj$x.t, predict(lambert_obj))
expect_equal(lambert_obj$x, predict(lambert_obj, inverse = TRUE))
})
test_that('lambert Transforms new data consistently', {
nd <- seq(-1, 4, length = 100)
pred <- predict(lambert_obj, newdata = nd)
expect_true(!any(is.na(pred)))
nd2 <- predict(lambert_obj, newdata = pred, inverse = TRUE)
expect_equal(nd, nd2)
})
lambert_obj <- lambert(train, standardize = FALSE)
test_that('lambert without standardization Transforms original data consistently' , {
expect_equal(lambert_obj$x.t, predict(lambert_obj))
expect_equal(lambert_obj$x, predict(lambert_obj, inverse = TRUE))
})
test_that('lambert without standardization Transforms new data consistently', {
nd <- seq(-1, 4, length = 100)
pred <- predict(lambert_obj, newdata = nd)
expect_true(!any(is.na(pred)))
nd2 <- predict(lambert_obj, newdata = pred, inverse = TRUE)
expect_equal(nd, nd2)
})
# for type = 'h'
lambert_obj <- lambert(train, type = 'h')
test_that('lambert Transforms original data consistently' , {
expect_equal(lambert_obj$x.t, predict(lambert_obj))
expect_equal(lambert_obj$x, predict(lambert_obj, inverse = TRUE))
})
test_that('lambert Transforms new data consistently', {
nd <- seq(0, 4, length = 100)
pred <- predict(lambert_obj, newdata = nd)
expect_true(!any(is.na(pred)))
nd2 <- predict(lambert_obj, newdata = pred, inverse = TRUE)
expect_equal(nd, nd2, tolerance = .001)
})
test_that('lambert correctly handles missing original data', {
b <- lambert(c(NA, train))
expect_equal(as.numeric(NA), b$x.t[1])
expect_equal(as.numeric(NA), predict(b)[1])
expect_equal(as.numeric(NA), predict(b, inverse = TRUE)[1])
})
test_that('lambert correctly handles missing new data', {
b <- lambert(train)
expect_equal(as.numeric(NA), predict(b, newdata = c(1, NA))[2])
expect_equal(as.numeric(NA), predict(b, newdata = c(1, NA), inverse = TRUE)[2])
})
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