as_dataset | Validate and coerce an object to dataset format |
as_data_dict | Validate and coerce any object as data dictionary |
as_data_dict_mlstr | Validate and coerce an object to an Opal data dictionary format |
as_data_dict_shape | Validate and coerce an object to a workable data dictionary structure |
as_dossier | Validate and coerce an object to dossier format |
as_taxonomy | Validate and coerce an object to taxonomy format |
as_valueType | Validate and coerce an object according to a given valueType |
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_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_name_standards | Assess variable names in a data dictionary for non-standard formats |
dataset_cat_as_labels | Apply data dictionary category labels to the associated dataset variables |
dataset_evaluate | Generate a quality assessment report of a dataset |
dataset_preprocess | Generate an evaluation of all variable values in a dataset |
dataset_summarize | Generate a report and summary of a dataset |
dataset_visualize | Generate a web-based bookdown visual report of a dataset |
dataset_zap_data_dict | Remove labels (attributes) from a data frame, leaving its unlabelled columns |
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 a quality assessment report of a data dictionary |
data_dict_expand | Transform single-row category information to multiple rows as element |
data_dict_extract | Create 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_ungroup | Ungroup data dictionary |
data_extract | Create an empty dataset from a data dictionary |
DEMO_files | Built-in material allowing the user to test the package with demo data |
dossier_create | Create a dossier object from a list of dataset(s) |
dossier_evaluate | Generate a quality assessment report of a dossier (list of datasets) |
dossier_summarize | Generate a report and summary of a dossier (list of datasets) |
is_dataset | Test if an object is a valid dataset |
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_dossier | Test if an object is a valid dossier |
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_help | Call the help center for full 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 |
valueType_adjust | Attribute the valueType from a data dictionary to a dataset, or vice versa |
valueType_guess | Guess the first possible valueType of an object (Can be a vector) |
valueType_list | Built-in tibble of allowed valueType values |
valueType_of | Return the valueType of an object |
valueType_self_adjust | Guess and attribute the valueType of a data dictionary or dataset variable |
variable_visualize | Generate a list of charts, figures and summary tables of a variable |