colAnyMissings {DelayedMatrixStats} | 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

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

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

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

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

    ## S4 method for signature 'DelayedMatrix'
    colAnyMissings(x, rows = NULL, cols = NULL,
      force_block_processing = FALSE, ...)

    ## S4 method for signature 'DelayedMatrix'
    colAnyNAs(x, rows = NULL, cols = NULL,
      force_block_processing = FALSE, ...)

    ## S4 method for signature 'DelayedMatrix'
    rowAnyMissings(x, rows = NULL, cols = NULL,
      force_block_processing = FALSE, ...)

    ## S4 method for signature 'DelayedMatrix'
    rowAnyNAs(x, rows = NULL, cols = NULL,
      force_block_processing = FALSE, ...)

### Arguments

`x` | A NxK DelayedMatrix.
`rows` | A `vector` indicating subset of elements (or rows and/or columns) to operate over. If `NULL`, no subsetting is done.
`cols` | A `vector` indicating subset of elements (or rows and/or columns) to operate over. If `NULL`, no subsetting is done.
`...` | Additional arguments passed to specific methods.
`force_block_processing` | `FALSE` (the default) means that a seed-aware, optimised method is used (if available). This can be overridden to use the general block-processing strategy by setting this to `TRUE` (typically not advised). The block-processing strategy loads one or more (depending on `getOption("DelayedArray.block.size")`) columns (`colFoo()`) or rows (`rowFoo()`) into memory as an ordinary base::array.

### 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`.

### See Also

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

### Examples

    # A DelayedMatrix with a 'matrix' seed
    dm_matrix <- DelayedArray(matrix(c(rep(1L, 5),
                                       as.integer((0:4) ^ 2),
                                       seq(-5L, -1L, 1L)),
                                     ncol = 3))
    # A DelayedMatrix with a 'HDF5ArraySeed' seed
    # NOTE: Requires that the HDF5Array package is installed
    library(HDF5Array)
    dm_HDF5 <- writeHDF5Array(matrix(c(rep(1L, 5),
                                       as.integer((0:4) ^ 2),
                                       seq(-5L, -1L, 1L)),
                                     ncol = 3))

    dm_matrix[dm_matrix > 3] <- NA
    colAnyNAs(dm_matrix)
    dm_HDF5[dm_HDF5 > 3] <- NA
    rowAnyNAs(dm_HDF5)

[Package DelayedMatrixStats version 1.0.3 Index]