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After searching for a while, I know that this question has not been answered yet. Assume that I have the following vector
v <- c("a", "b", "b", "c","c","c", "d", "d", "d", "d")
How do I find those values having more than 1 duplicates
(should be "c","c","c", "d", "d", "d", "d")
and more than 2 duplicates
(should be "d", "d", "d", "d")
Function duplicated(v) only returns values having duplicates.
380
Find and drop duplicate elementsThe R function duplicated() returns a logical vector where TRUE specifies which elements of a vector or data frame are duplicates. ! is a logical negation. ! duplicated() means that we don't want duplicate rows.
We can find the rows with duplicated values in a particular column of an R data frame by using duplicated function inside the subset function. This will return only the duplicate rows based on the column we choose that means the first unique value will not be in the output.
duplicated() determines which elements of a vector or data frame are duplicates of elements with smaller subscripts, and returns a logical vector indicating which elements (rows) are duplicates.
You can generate a table() and then check which elements of v are part of the relevant subset of the table, e.g.
R> v <- c("a", "b", "b", "c","c","c", "d", "d", "d", "d")
R> tab <- table(v)
R> tab
v
a b c d
1 2 3 4
R> v[v %in% names(tab[tab > 2])]
[1] "c" "c" "c" "d" "d" "d" "d"
R> v[v %in% names(tab[tab > 3])]
[1] "d" "d" "d" "d"
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