Identify duplicates and mark first occurrence and all others
Here's one approach of many:
m <- matrix(c(1,2,1,3,1,4,1,2,2,3,2,3,1,2,5), ncol = 3)
x <- table(m[,1])
as.character(m[,1]) %in% names(x)[x > 1]
## > as.character(m[,1]) %in% names(x)[x > 1]
## [1] TRUE FALSE TRUE FALSE TRUE
# or wrap it up as function:
FUN <- function(vec) {
x <- table(vec)
as.character(vec) %in% names(x)[x > 1]
}
FUN(m[, 1])
## > FUN(m[, 1])
## [1] TRUE FALSE TRUE FALSE TRUE
When I saw this question I asked myself "what would Jim Holtman or Bill Dunlap advise on Rhelp?". Haven't looked in the archives, but I think they might have advised using two "parallel" applications of duplicated
, one with the defaults and one with the fromLast
parameter and conjoining with a vector OR (|
) operator.
duplicated(m[,1]) | duplicated(m[,1], fromLast=TRUE)
[1] TRUE FALSE TRUE FALSE TRUE