R: Checks if there are any missing values in an object or not

anyMissing {matrixStats} | R Documentation

## Checks if there are any missing values in an object or not

### Description

Checks if there are any missing values in an object or not. Please use `base::anyNA()` instead of `anyMissing()`, `colAnyNAs()` instead of `colAnyMissings()`, and `rowAnyNAs()` instead of `rowAnyMissings()`.

### Usage

    anyMissing(x, idxs = NULL, ...)

    colAnyMissings(x, rows = NULL, cols = NULL, ...)

    rowAnyMissings(x, rows = NULL, cols = NULL, ...)

    colAnyNAs(x, rows = NULL, cols = NULL, ...)

    rowAnyNAs(x, rows = NULL, cols = NULL, ...)

### Arguments

`x` | A `vector`, a `list`, a `matrix`, a `data.frame`, or `NULL`.
`idxs, rows, cols` | A `vector` indicating subset of elements (or rows and/or columns) to operate over. If `NULL`, no subsetting is done.
`...` | Not used.

### Details

The implementation of this method is optimized for both speed and memory. The method will return `TRUE` as soon as a missing value is detected.

### Value

Returns `TRUE` if a missing value was detected, otherwise `FALSE`.

### Author(s)

Henrik Bengtsson

### See Also

Starting with R v3.1.0, there is `anyNA()` in the base, which provides the same functionality as `anyMissing()`.

### Examples

     x <- rnorm(n = 1000)
     x[seq(300, length(x), by = 100)] <- NA
     stopifnot(anyMissing(x) == any(is.na(x)))

[Package matrixStats version 0.55.0 Index]