copy_labels             Copy variable and value labels and SPSS-style
                        missing value
dictionary_to_variable_labels
                        Convert a dictionary data frame into a list of
                        variable / value labels
drop_unused_value_labels
                        Drop unused value labels
is_prefixed             Check if a factor is prefixed
look_for                Look for keywords variable names and
                        descriptions / Create a data dictionary
na_values               Get / Set SPSS missing values
names_prefixed_by_values
                        Turn a named vector into a vector of names
                        prefixed by values
nolabel_to_na           Recode values with no label to NA
recode.haven_labelled   Recode values
recode_if               Recode some values based on condition
remove_attributes       Remove attributes
remove_labels           Remove variable label, value labels and user
                        defined missing values
sort_val_labels         Sort value labels
tagged_na_to_user_na    Convert tagged NAs into user NAs
to_character            Convert input to a character vector
to_factor               Convert input to a factor.
to_labelled             Convert to labelled data
unique_tagged_na        Unique elements, duplicated, ordering and
                        sorting with tagged NAs
update_labelled         Update labelled data to last version
update_variable_labels_with
                        Update variable/value labels with a function
val_labels              Get / Set value labels
val_labels_to_na        Recode value labels to NA
var_label               Get / Set a variable label
x_haven_2.0             Datasets for testing
