This internal function is to be used in the prep function to ensure that the type of the variables matches the expectation. Throws an error if check fails.
check_type(dat, quant = TRUE, types = NULL, call = caller_env())A data frame or tibble of the training data.
A logical indicating whether the data is expected to be numeric
(TRUE) or a factor/character (FALSE). Is ignored if types is specified.
Character vector of allowed types. Following the same types as
has_role(). See details for more.
Using types is a more fine-tuned way to use this. function compared to
using quant. types should specify all allowed types as designated by
.get_data_types. Suppose you want to allow doubles, integers, characters,
factors and ordered factors, then you should specify types = c("double", "integer", "string", "factor", "ordered") to get a clear error message.