# AllDuplicated: Index Vector of All Values Involved in Ties In DescTools: Tools for Descriptive Statistics

 AllDuplicated R Documentation

## Index Vector of All Values Involved in Ties

### Description

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).

### Usage

```AllDuplicated(x)
```

### Arguments

 `x` vector of any type.

### Value

logical vector of the same dimension as x.

### Author(s)

Andri Signorell <andri@signorell.net>

`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)

### 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])
```

DescTools documentation built on Oct. 23, 2022, 1:07 a.m.