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

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().

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

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

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

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

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

Arguments

x

A vector, a list, a matrix, a data.frame, or NULL.

idxs

A vector indicating subset of elements to operate over. If NULL, no subsetting is done.

...

Not used.

rows

A vector indicating subset of rows to operate over. If NULL, no subsetting is done.

cols

A vector indicating subset of columns to operate over. If NULL, no subsetting is done.

useNames

If TRUE (default), names attributes of the result are set, otherwise not.

Value

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

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.

See also

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

Author

Henrik Bengtsson

Examples

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