test_that("deduplicate works", {
my_df <- data.frame(
title = c(
"EviAtlas: a tool for visualising evidence synthesis databases",
"revtools: An R package to support article screening for evidence synthesis",
"An automated approach to identifying search terms for systematic reviews using keyword co-occurrence networks",
"Reproducible, flexible and high-throughput data extraction from primary literature: The metaDigitise r package",
"eviatlas:tool for visualizing evidence synthesis databases.",
"REVTOOLS a package to support article-screening for evidence synthsis"),
year = c("2019", "2019", "2019", "2019", NA, NA),
authors = c("Haddaway et al", "Westgate", "Grames et al", "Pick et al", NA, NA),
stringsAsFactors = FALSE)
# run deduplication
dups <- find_duplicates(my_df$title,
method = "string_osa",
rm_punctuation = TRUE,
to_lower = TRUE)
deduped <- extract_unique_references(my_df, matches = dups)
deduped2 <- deduplicate(my_df, "title",
rm_punctuation = TRUE,
to_lower = TRUE)
expect_equal(length(dups), nrow(my_df))
expect_true(all(dups[5:6] == dups[1:2]))
expect_equal(length(unique(dups)), nrow(deduped))
expect_equal(deduped, deduped2)
})
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