Nothing
# tests object sizes and lengths
library(Tcomp)
#-------------test number of series---------------
expect_equal(length(tourism), 1311)
expect_equal(length(subset(tourism, "monthly")), 366)
expect_equal(length(subset(tourism, "quarterly")), 427)
expect_equal(length(subset(tourism, "yearly")), 518)
#----------test the test period of each series is immediately after the training period------------
# Series Y18 (#811) fails this test as the final point of the training series is 2003, and
# the first point of the test series is also 2003! To let the package build, the starting date
# of Y18 has been manually changed to 2004 in /prep/groom.R; this seems the most likely
# problem.
test_cont <- function(series){
# series <- tourism[[1041]] # for debugging and dev
x <- series$x
xx <- series$xx
expect_equal(
max(time(x)) + 1 / frequency(x),
min(time(xx))
)
}
lapply(tourism, test_cont)
# for loop below was for tracking exactly which series was wrong.
# for(i in 1:length(tourism)){
# test_cont(tourism[[i]])
# }
#-----------test forecast horizon matches test set--------------
test_h <- function(series){
expect_equal(length(series$xx), series$h)
}
lapply(tourism, test_h)
#--------------test forecast horizon matches the Hyndman article------
expect_equal(
mean(sapply(subset(tourism, "monthly"), function(s){mean(s$h)})),
24)
expect_equal(
mean(sapply(subset(tourism, "quarterly"), function(s){mean(s$h)})),
8)
expect_equal(
mean(sapply(subset(tourism, "yearly"), function(s){mean(s$h)})),
4)
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