base (version 3.4.0)

# which.min: Where is the Min() or Max() or first TRUE or FALSE ?

## Description

Determines the location, i.e., index of the (first) minimum or maximum of a numeric (or logical) vector.

## Usage

```which.min(x)
which.max(x)```

## Arguments

x
numeric (logical, integer or double) vector or an R object for which the internal coercion to `double` works whose `min` or `max` is searched for.

## Value

Missing and `NaN` values are discarded. an `integer` or on 64-bit platforms, if `length(x) =: n`\(\ge 2^{31}\) an integer valued `double` of length 1 or 0 (iff `x` has no non-`NA`s), giving the index of the first minimum or maximum respectively of `x`. If this extremum is unique (or empty), the results are the same as (but more efficient than) `which(x == min(x, na.rm = TRUE))` or `which(x == max(x, na.rm = TRUE))` respectively.

## Logical <code>x</code> -- First <code>TRUE</code> or <code>FALSE</code>

For a `logical` vector `x` with both `FALSE` and `TRUE` values, `which.min(x)` and `which.max(x)` return the index of the first `FALSE` or `TRUE`, respectively, as `FALSE < TRUE`. However, `match(FALSE, x)` or `match(TRUE, x)` are typically preferred, as they do indicate mismatches.

`which`, `max.col`, `max`, etc. Use `arrayInd()`, if you need array/matrix indices instead of 1D vector ones. `which.is.max` in package https://CRAN.R-project.org/package=nnet differs in breaking ties at random (and having a ‘fuzz’ in the definition of ties).

## Examples

Run this code
``````x <- c(1:4, 0:5, 11)
which.min(x)
which.max(x)

## it *does* work with NA's present, by discarding them:
presidents[1:30]
range(presidents, na.rm = TRUE)
which.min(presidents) # 28
which.max(presidents) #  2

## Find the first occurrence, i.e. the first TRUE, if there is at least one:
x <- rpois(10000, lambda = 10); x[sample.int(50, 20)] <- NA
## where is the first value >= 20 ?
which.max(x >= 20)

## Also works for lists (which can be coerced to numeric vectors):
which.min(list(A = 7, pi = pi)) ##  ->  c(pi = 2L)

``````

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