Validate columns for a data.frame — validate

This function looks at the different possible column names given and chooses the one present in a data.frame. If none of the column names fit or if multiple names fit the function stops with an appropriate error message. The functions returns a list with the column names existing that can be used.

validate_columns(data, columns, verbose = FALSE)

Arguments

data: data.frame to check for columns.
columns: List of column names to be checked if they exist.
verbose: Logical if message should be printed. Default = FALSE

Value

Returns list of columns that are present

Author

Peter Blattmann

Examples

{
 validate_columns(cars, list(Speed = c("speed")))
 
 # if out of two possible column one exists
 validate_columns(cars, list(Speed = c("speed", "velocity")))
 validate_columns(cars, list(Speed = c("speed", "velocity")), verbose = TRUE)
 
 }
#> speed is used as Speed column.
#> $Speed
#> [1] "speed"
#>