anyMissing: Check if an object contains missing values

In checkmate: Fast and Versatile Argument Checks

Check if an object contains missing values

Description

anyMissing checks for the presence of at least one missing value, allMissing checks for the presence of at least one non-missing value. Supported are atomic types (see is.atomic), lists and data frames. Missingness is defined as NA or NaN for atomic types and data frame columns, NULL is defined as missing for lists.
allMissing applied to a data.frame returns TRUE if at least one column has only non-missing values. If you want to perform the less frequent check that there is at least a single non-missing observation present in the data.frame, use all(sapply(df, allMissing)) instead.

Usage

allMissing(x)

anyMissing(x)

Arguments

x	[ANY] Object to check.

Value

[logical(1)] Returns TRUE if any (anyMissing) or all (allMissing) elements of x are missing (see details), FALSE otherwise.

Examples

allMissing(1:2)
allMissing(c(1, NA))
allMissing(c(NA, NA))
x = data.frame(a = 1:2, b = NA)
# Note how allMissing combines the results for data frames:
allMissing(x)
all(sapply(x, allMissing))
anyMissing(c(1, 1))
anyMissing(c(1, NA))
anyMissing(list(1, NULL))

x = iris
x[, "Species"] = NA
anyMissing(x)
allMissing(x)

checkmate documentation built on Sept. 11, 2024, 8:40 p.m.