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Identify Columns Without Missing Values

Source: R/completeColumns.R
completeColumns.Rd

This function checks each element of a data frame or list-like object for missing values (NA) and identifies those that are completely observed, i.e., contain no missing entries.

Usage

completeColumns(x, output = c("names", "logical"))

Arguments

x

a data.frame or list-like object whose elements are checked for missing values.

output

character string specifying the output representation. One of "names" (return the names of the complete elements, the default) or "logical" (return a logical vector indicating completeness for each element).

Value

if output = "names", a character vector with the names of all complete elements.

If output = "logical", a logical vector of length length(x), where TRUE indicates that the corresponding element contains no missing values.

Details

An element is considered complete if it contains zero missing values. Internally, the function uses anyNA() to detect missing values.

See also

anyNA(), is.na(), na.omit(), complete.cases()

Other data.missing: countCompCases()

Examples

# Names of columns without missing values
completeColumns(airquality)
#> [1] "Wind"  "Temp"  "Month" "Day"  

# Logical vector indicating completeness
completeColumns(airquality, output = "logical")
#>   Ozone Solar.R    Wind    Temp   Month     Day 
#>   FALSE   FALSE    TRUE    TRUE    TRUE    TRUE