as_category             Validate and coerce any object as a categorical
                        variable.
as_data_dict            Validate and coerce any object as a data
                        dictionary
as_data_dict_mlstr      Validate and coerce any object as an Opal data
                        dictionary format
as_data_dict_shape      Validate and coerce any object as a workable
                        data dictionary structure
as_dataset              Validate and coerce any object as a dataset
as_dossier              Validate and coerce any object as a dossier
                        (list of dataset(s))
as_taxonomy             Validate and coerce any object as a taxonomy
as_valueType            Validate and coerce any object according to a
                        given valueType
bookdown_open           Objects exported from other packages
bookdown_render         Objects exported from other packages
bookdown_template       Objects exported from other packages
check_data_dict_categories
                        Assess a data dictionary for potential issues
                        in categories
check_data_dict_missing_categories
                        Assess categorical variables for non-Boolean
                        values in 'missing' column
check_data_dict_valueType
                        Assess a data dictionary for non-valid
                        valueType values
check_data_dict_variables
                        Assess a data dictionary for potential issues
                        in variables
check_dataset_categories
                        Assess a data dictionary and associated dataset
                        for category differences
check_dataset_valueType
                        Assess a data dictionary and associated dataset
                        for valueType differences
check_dataset_variables
                        Assess a data dictionary and associated dataset
                        for undeclared variables
check_name_standards    Assess variable names in a data dictionary for
                        non-standard formats
col_id                  Return the id column names(s) of a dataset
color_palette_maelstrom
                        Built-in data frame of colors used in the
                        graphs and charts.
data_dict_apply         Apply a data dictionary to a dataset
data_dict_collapse      Transform multi-row category column(s) to
                        single rows and join to "Variables"
data_dict_evaluate      Generate an assessment report for a data
                        dictionary
data_dict_expand        Transform single-row category information to
                        multiple rows as element
data_dict_extract       Generate a data dictionary from a dataset
data_dict_filter        Subset data dictionary by row values
data_dict_group_by      Group listed data dictionaries by specified
                        column names
data_dict_group_split   Split grouped data dictionaries into a named
                        list
data_dict_list_nest     Bind listed data dictionaries
data_dict_match_dataset
                        Inner join between a dataset and its associated
                        data dictionary
data_dict_pivot_longer
                        Transform column(s) of a data dictionary from
                        wide format to long format
data_dict_pivot_wider   Transform column(s) of a data dictionary from
                        long format to wide format
data_dict_trim_labels   Add shortened labels to data dictionary
data_dict_ungroup       Ungroup data dictionary
data_dict_update        Update a data dictionary from a dataset
data_extract            Create an empty dataset from a data dictionary
dataset_cat_as_labels   Apply data dictionary category labels to the
                        associated dataset variables
dataset_evaluate        Generate an assessment report for a dataset
dataset_preprocess      Generate an evaluation of all variable values
                        in a dataset
dataset_summarize       Generate an assessment report and summary of a
                        dataset
dataset_visualize       Generate a web-based visual report for a
                        dataset
dataset_zap_data_dict   Remove labels (attributes) from a data frame,
                        leaving its unlabelled columns
dossier_create          Generate a dossier from a list of one or more
                        datasets
dossier_evaluate        Generate an assessment report of a dossier
dossier_summarize       Generate an assessment report and summary of a
                        dossier
drop_category           Validate and coerce any object as a
                        non-categorical variable.
first_label_get         Get the first label from a data dictionary
has_categories          Test if an object has categorical variables.
is_category             Test and validate if an object is a categorical
                        variable.
is_data_dict            Test if an object is a valid data dictionary
is_data_dict_mlstr      Test if an object is a valid Maelstrom data
                        dictionary
is_data_dict_shape      Test if an object is a workable data dictionary
                        structure
is_dataset              Test if an object is a valid dataset
is_dossier              Test if an object is a valid dossier (list of
                        dataset(s))
is_taxonomy             Test if an object is a valid taxonomy
is_valueType            Test if a character object is one of the valid
                        valueType values
madshapR_examples       Built-in material allowing the user to test the
                        package with example data
madshapR_website        Call to online documentation
summary_variables       Provide descriptive statistics for variables in
                        a dataset
summary_variables_categorical
                        Provide descriptive statistics for variables of
                        categorical in a dataset
summary_variables_date
                        Provide descriptive statistics for variables of
                        type 'date' in a dataset
summary_variables_datetime
                        Provide descriptive statistics for variables of
                        type 'datetime' in a dataset
summary_variables_numeric
                        Provide descriptive statistics for variables of
                        type 'numeric' in a dataset
summary_variables_text
                        Provide descriptive statistics for variables of
                        type 'text' in a dataset
typeof_convert_to_valueType
                        Convert typeof (and class if any) into its
                        corresponding valueType
valueType_adjust        Attribute the valueType from a data dictionary
                        to a dataset, or vice versa
valueType_convert_to_typeof
                        Convert valueType into its corresponding typeof
                        and class in R representation
valueType_guess         Guess the first possible valueType of an object
                        (Can be a vector)
valueType_list          Built-in data frame of allowed valueType values
valueType_of            Return the valueType of an object
valueType_self_adjust   Self-adjust the valueType from a data
                        dictionary or a dataset.
variable_visualize      Generate a list of charts, figures and summary
                        tables of a variable
