# AllDuplicated

0th

Percentile

##### Index Vector of All Values Involved in Ties

The function duplicated returns a logical vector indicating which elements x are duplicates, but will not include the very first appearance of subsequently duplicated elements. AllDuplicated returns an index vector of ALL the values in x which are involved in ties. So !AllDuplicated can be used to determine all elements of x, which appear exactly once (thus with frequency 1).

Keywords
manip
##### Usage
AllDuplicated(x)
##### Arguments
x
vector of any type.

##### See Also

unique returns a unique list of all values in x duplicated returns an index vector flagging all elements, which appeared more than once (leaving out the first appearance!) union(A, B) returns a list with the unique values from A and B intersect returns all elements which appear in A and in B setdiff(A, B) returns all elements appearing in A but not in B setequal(A, B) returns TRUE if A contains exactly the same elements as B split(A, A) returns a list with all the tied values in A (see examples)

##### Aliases
• AllDuplicated
##### Examples
x <- c(1:10, 4:6)

AllDuplicated(x)

# compare to:
duplicated(x)

x[!AllDuplicated(x)]

# union, intersect and friends...
A <- c(sort(sample(1:20, 9)),NA)
B <- c(sort(sample(3:23, 7)),NA)

# all elements from A and B (no duplicates)
union(A, B)
# all elements appearing in A and in B
intersect(A, B)
# elements in A, but not in B
setdiff(A, B)
# elements in B, but not in A
setdiff(B, A)
# Does A contain the same elements as B?
setequal(A, B)

# Find ties in a vector x
x <- sample(letters[1:10], 20, replace=TRUE)
ties <- split(x, x)

# count tied groups
sum(sapply(ties, length) > 1)

# length of tied groups
(x <- sapply(ties, length))[x>1]

# by means of table
tab <- table(x)
tab[tab>1]

# count elements involved in ties
sum(tab>1)
# count tied groups
sum(tab[tab>1])

Documentation reproduced from package DescTools, version 0.99.19, License: GPL (>= 2)

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