check_arguments: Function that applies some general checks to the arguments of...
In labelmachine: Make Labeling of R Data Sets Easy

Function that applies some general checks to the arguments of lama_translate() and lama_translate_()

1 2	check_arguments(.data, dictionary, col_new, keep_order, to_factor, err_handler)

`.data`	Either a data frame, a factor or an atomic vector.
`dictionary`	A lama_dictionary object, holding the translations for various variables.
`col_new`	Only used if `.data` is a data frame. The argument `col` must be a character vector of the same length as `translation` holding the names under which the relabeled variables should be stored in the data.frame. If omitted, then it will be assumed that the new column names are the same as the column names of the original variables.
`keep_order`	A boolean vector of length one or the same length as the number of translations. If the vector has length one, then the same configuration is applied to all variable translations. If the vector has the same length as the number of arguments in `...`, then the to each variable translation there is a corresponding boolean configuration. If a translated variable in the data.frame is a factor variable, and the corresponding boolean configuration is set to `TRUE`, then the the order of the original factor variable will be preserved.
`to_factor`	A boolean vector of length one or the same length as the number of translations. If the vector has length one, then the same configuration is applied to all variable translations. If the vector has the same length as the number of arguments in `...`, then the to each variable translation there is a corresponding boolean configuration. If `to_factor` is `TRUE`, then the resulting labeled variable will be a factor. If `to_factor` is set to `FALSE`, then the resulting labeled variable will be a plain character vector.
`err_handler`	An error handling function