context("data_processing_functions")
# test .rm_na_and_check
test_that(".rm_na_and_check returning data.frame", {
x <- c(NA,NA,1:10,NA,100)
y_bin <- c(c(NA,2,rep(1:2,6)))
y_cont <- c(NA,2,1:10,NA,100)
#Note first row has NA in both variable so expecting that row to be dropped
expect_equal(.rm_na_and_check(x, y_bin),
expected = data.frame(x = x,y = y_bin)[-1,])
#Note first and 13th row has NA in both variable so expecting that row to be dropped
expect_equal(.rm_na_and_check(x, y_cont, y_type = 'continuous'),
expected = data.frame(x = x,y = y_cont)[-c(1,13),])
})
test_that(".rm_na_and_check returning p value", {
#no complete cases
expect_equal(.rm_na_and_check(c(1,1,NA,NA), c(NA,NA,1,1)), expected = NA)
expect_message(.rm_na_and_check(c(1,1,NA,NA), c(NA,NA,1,1), verbose = T),
regexp = 'There are no observations with non-missing values of both "x" and "y", so p=NA returned')
#x only one value
expect_equal(.rm_na_and_check(rep(1,6), rep(1:2,3)), expected = 1)
expect_message(.rm_na_and_check(rep(1,6), rep(1:2,3), verbose = T),
regexp = '"x" only has 1 distinct value when considering non-missing values of "y", so p=1 returned')
#binary y only one value
expect_equal(.rm_na_and_check(rep(1:2,3),rep(1,6)), expected = NA)
expect_message(.rm_na_and_check(rep(1:2,3),rep(1,6), verbose = T),
regexp = '"y" only has 1 level when considering non-missing values of "x", so p=NA returned')
#continuous y only one value
expect_equal(.rm_na_and_check(rep(1:2,3),rep(1,6), y_type = 'cont'), expected = 1)
expect_message(.rm_na_and_check(rep(1:2,3),rep(1,6), y_type = 'cont', verbose = T),
regexp = '"y" only has 1 distinct value when considering non-missing values of "x", so p=1 returned')
})
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