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 \link[DelayedArray]{getAutoBlockSize}()) 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.

Author(s)

Peter Hickey

Peter Hickey

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 1.10.1 Index]