tests/testthat/test-comb_WA.R In GeomComb: (Geometric) Forecast Combination Methods

```context("comb_WA")

test_that("Forward wrong input data object", {
expect_error(comb_WA(1, criterion = "RMSE"))
expect_error(comb_WA("abs", criterion = "RMSE"))
expect_error(comb_WA(list(a=1, b=2), criterion = "RMSE"))
expect_error(comb_WA(NULL, criterion = "RMSE"))
expect_error(comb_WA(NA, criterion = "RMSE"))
expect_error(comb_WA(Inf, criterion = "RMSE"))
expect_error(comb_WA(-Inf, criterion = "RMSE"))
})

test_that("Tests for correct function parameterization", {
set.seed(5)
obs <- rnorm(100)
preds <- matrix(rnorm(1000, 1), 100, 10)
train_o<-obs[1:80]
train_p<-preds[1:80,]

data<-foreccomb(train_o, train_p)
expect_error(comb_WA(data, criterion = "RMSE"), NA)
expect_error(comb_WA(data, criterion = "MAE"), NA)
expect_error(comb_WA(data, criterion = "MAPE"), NA)
expect_error(comb_WA(data, criterion = "bb"))
expect_error(comb_WA(data, criterion = NULL))

expect_error(comb_WA(data, trim_factor = -1))
expect_error(comb_WA(data, trim_factor = 0.51))
expect_error(comb_WA(data, trim_factor = 0.25), NA)
})

test_that("Check for correct class type and accuracy, when only train set is used", {
set.seed(5)
obs <- rnorm(100)
preds <- matrix(rnorm(1000, 1), 100, 10)
train_o<-obs[1:80]
train_p<-preds[1:80,]

data<-foreccomb(train_o, train_p)
result<-comb_WA(data)

expect_is(result, "foreccomb_res")
expect_length(result, 7)
expect_equal(as.vector(result\$Accuracy_Train),
c(-1.00773, 1.433826, 1.189203, 146.7917, 365.0705, 0.1246514, 1.035604),
tolerance = 1e-5,
check.attributes = FALSE)
})

test_that( "Check for correct class type and accuracy, when Forecast_Test is provided but not Actual_Test", {
set.seed(5)
obs <- rnorm(100)
preds <- matrix(rnorm(1000, 1), 100, 10)
train_o<-obs[1:80]
train_p<-preds[1:80,]
test_p<-preds[81:100,]

data<-foreccomb(train_o, train_p, newpreds =  test_p)
result<-comb_WA(data)

expect_is(result, "foreccomb_res")
expect_length(result, 8)
expect_equal(as.vector(result\$Accuracy_Train),
c(-1.00773, 1.433826, 1.189203, 146.7917, 365.0705, 0.1246514, 1.035604),
tolerance = 1e-5,
check.attributes = FALSE)
})

test_that( "Check for correct class type and accuracy, when test set is used", {
set.seed(5)
obs <- rnorm(100)
preds <- matrix(rnorm(1000, 1), 100, 10)
train_o<-obs[1:80]
train_p<-preds[1:80,]
test_o<-obs[81:100]
test_p<-preds[81:100,]

data<-foreccomb(train_o, train_p, test_o, test_p)
result<-comb_WA(data)

expect_is(result, "foreccomb_res")
expect_length(result, 9)
expect_equal(as.vector(result\$Accuracy_Test),
c(-0.9073744, 1.34317, 1.071896, 619.5004, 652.0929),
tolerance = 1e-5,
check.attributes = FALSE)
})
```

Try the GeomComb package in your browser

Any scripts or data that you put into this service are public.

GeomComb documentation built on May 29, 2017, 10:56 a.m.