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# unit testing for computing correlations
# prepare data for lagged corr testing
# should give corr of 1 when lagged by 2
input <- data.frame(
Event_ID = "corr_test",
Participant_ID = rep(c("P1", "P2"), 50),
Exchange_Count = rep(1:50, each = 2),
emo_anger = c(rbind(1:50, c(0, 0, 1:48))) # interleave two sequences, one lagged by 2
)
test_that("computed pearson correlation is correct", {
# lagged by two should be equal to 1
p_output <- compute_lagcorr(input, corr_type = "Pearson")
expect_equal(p_output$TurnCorr_Lag2[1], 1)
})
test_that("computed spearman correlation is correct", {
# lagged by two should be equal to 1
p_output <- compute_lagcorr(input, corr_type = "Spearman")
expect_equal(p_output$TurnCorr_Lag2[1], 1)
})
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