Matrix (version 1.6-4)

# is.na-methods: is.na(), is.finite() Methods for 'Matrix' Objects

## Description

Methods for generic functions `anyNA()`, `is.na()`, `is.nan()`, `is.infinite()`, and `is.finite()`, for objects inheriting from virtual class `Matrix` or `sparseVector`.

## Usage

```# S4 method for denseMatrix
is.na(x)
# S4 method for sparseMatrix
is.na(x)
# S4 method for diagonalMatrix
is.na(x)
# S4 method for indMatrix
is.na(x)
# S4 method for sparseVector
is.na(x)
## ...
## and likewise for anyNA, is.nan, is.infinite, is.finite```

## Value

For `is.*()`, an `nMatrix` or

`nsparseVector` matching the dimensions of `x` and specifying the positions in `x` of (some subset of) `NA`, `NaN`,

`Inf`, and `-Inf`. For `anyNA`(), `TRUE` if `x` contains `NA`

or `NaN` and `FALSE` otherwise.

## Arguments

x

an R object, here a sparse or dense matrix or vector.

`NA`, `NaN`, `Inf`

## Examples

Run this code
``````(M <- Matrix(1:6, nrow = 4, ncol = 3,
dimnames = list(letters[1:4], LETTERS[1:3])))
stopifnot(!anyNA(M), !any(is.na(M)))

M[2:3, 2] <- NA
(inM <- is.na(M))
stopifnot(anyNA(M), sum(inM) == 2)

(A <- spMatrix(nrow = 10, ncol = 20,
i = c(1, 3:8), j = c(2, 9, 6:10), x = 7 * (1:7)))
stopifnot(!anyNA(A), !any(is.na(A)))

A[2, 3] <- A[1, 2] <- A[5, 5:9] <- NA
(inA <- is.na(A))
stopifnot(anyNA(A), sum(inA) == 1 + 1 + 5)
``````

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