dedup: Deduplicate records

In ropensci/scrubr: Clean Biological Occurrence Records

Deduplicate records

Description

Deduplicate records

Usage

dedup(x, how = "one", tolerance = 0.9)

Arguments

x	(data.frame) A data.frame, tibble, or data.table
how	(character) How to deal with duplicates. The default of "one" keeps one record of each group of duplicates, and drops the others, putting them into the dups attribute. "all" drops all duplicates, in case e.g., you don't want to deal with any records that are duplicated, as e.g., it may be hard to tell which one to remove.
tolerance	(numeric) Score (0 to 1) at which to determine a match. You'll want to inspect outputs closely to tweak this value based on your data, as results can vary.

Value

Returns a data.frame, optionally with attributes

Examples

df <- sample_data_1
smalldf <- df[1:20, ]
smalldf <- rbind(smalldf, smalldf[10,])
smalldf[21, "key"] <- 1088954555
NROW(smalldf)
dp <- dframe(smalldf) %>% dedup()
NROW(dp)
attr(dp, "dups")

# Another example - more than one set of duplicates
df <- sample_data_1
twodups <- df[1:10, ]
twodups <- rbind(twodups, twodups[c(9, 10), ])
rownames(twodups) <- NULL
NROW(twodups)
dp <- dframe(twodups) %>% dedup()
NROW(dp)
attr(dp, "dups")

ropensci/scrubr documentation built on Sept. 12, 2022, 2:12 p.m.