dataset_zap_data_dict {madshapR} | R Documentation |
Remove labels (attributes) from a data frame, leaving its unlabelled columns
Description
Removes any attributes attached to a data frame. Any value in columns will be preserved. Any 'Date' (typeof) column will be recast as character to preserve information.
Usage
dataset_zap_data_dict(dataset, zap_factor = FALSE)
Arguments
dataset |
A dataset object. |
zap_factor |
Whether the factor column should be coerced with its corresponding valueType. FALSE by default. |
Details
A dataset is a data table containing variables. A dataset object is a data frame and can be associated with a data dictionary. If no data dictionary is provided with a dataset, a minimum workable data dictionary will be generated as needed within relevant functions. Identifier variable(s) for indexing can be specified by the user. The id values must be non-missing and will be used in functions that require it. If no identifier variable is specified, indexing is handled automatically by the function.
Value
A data frame identifying a dataset.
See Also
Examples
{
# use madshapR_examples provided by the package
dataset <- madshapR_examples$`dataset_example`
data_dict <- as_data_dict_mlstr(madshapR_examples$`data_dictionary_example`)
dataset <- data_dict_apply(dataset,data_dict)
unlabbeled_dataset <- dataset_zap_data_dict(dataset)
head(unlabbeled_dataset)
}