Verify required columns exist in the data

Checks that all required columns are present in the data and stops with an informative error message if any are missing.

Usage

.verify_columns(data, columns, data_description, file = NULL)

Arguments

data

Data to validate (eg. a dataframe)

columns

Character vector of required column names

data_description

Description of the data being validated to include in the error message.

file

Optional file path to include in error message (to indicate where the data originated from). For example: "model steps file" or "model steps data".

Errors

• missing_columns: Raised when one or more entries in `columns` are not present in `colnames(data)`. The error message lists the missing column names and, if `file` is provided, the basename of the file.