inst/examples/deduplicate.R

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",
    "Reproducible, flexible and high-throughput data extraction from primary literature",
    "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
)

extract_unique_references(my_df, matches = dups)

# or, in one line:
deduplicate(my_df, "title",
  method = "string_osa",
  rm_punctuation = TRUE,
  to_lower = TRUE)

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synthesisr documentation built on July 2, 2020, 2:16 a.m.