All functions |
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Validate and coerce any object as a categorical variable. |
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Validate and coerce any object as a dataset |
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Validate and coerce any object as a data dictionary |
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Validate and coerce any object as an Opal data dictionary format |
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Validate and coerce any object as a workable data dictionary structure |
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Validate and coerce any object as a dossier (list of dataset(s)) |
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Validate and coerce any object as a taxonomy |
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Validate and coerce any object according to a given valueType |
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Objects exported from other packages |
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Objects exported from other packages |
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Objects exported from other packages |
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Assess a data dictionary and associated dataset for category differences |
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Assess a data dictionary and associated dataset for valueType differences |
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Assess a data dictionary and associated dataset for undeclared variables |
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Assess a data dictionary for potential issues in categories |
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Assess categorical variables for non-Boolean values in 'missing' column |
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Assess a data dictionary for non-valid valueType values |
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Assess a data dictionary for potential issues in variables |
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Assess variable names in a data dictionary for non-standard formats |
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Built-in data frame of colors used in the graphs and charts. |
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Return the id column names(s) of a dataset |
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Apply data dictionary category labels to the associated dataset variables |
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Generate an assessment report for a dataset |
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Generate an evaluation of all variable values in a dataset |
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Generate an assessment report and summary of a dataset |
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Generate a web-based visual report for a dataset |
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Remove labels (attributes) from a data frame, leaving its unlabelled columns |
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Apply a data dictionary to a dataset |
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Transform multi-row category column(s) to single rows and join to "Variables" |
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Generate an assessment report for a data dictionary |
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Transform single-row category information to multiple rows as element |
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Generate a data dictionary from a dataset |
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Subset data dictionary by row values |
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Group listed data dictionaries by specified column names |
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Split grouped data dictionaries into a named list |
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Bind listed data dictionaries |
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Inner join between a dataset and its associated data dictionary |
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Transform column(s) of a data dictionary from wide format to long format |
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Transform column(s) of a data dictionary from long format to wide format |
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Add shortened labels to data dictionary |
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Ungroup data dictionary |
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Update a data dictionary from a dataset |
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Create an empty dataset from a data dictionary |
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Generate a dossier from a list of one or more datasets |
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Generate an assessment report of a dossier |
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Generate an assessment report and summary of a dossier |
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Validate and coerce any object as a non-categorical variable. |
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Get the first label from a data dictionary |
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Test if an object has categorical variables. |
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Test and validate if an object is a categorical variable. |
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Test if an object is a valid dataset |
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Test if an object is a valid data dictionary |
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Test if an object is a valid Maelstrom data dictionary |
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Test if an object is a workable data dictionary structure |
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Test if an object is a valid dossier (list of dataset(s)) |
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Test if an object is a valid taxonomy |
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Test if a character object is one of the valid valueType values |
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Built-in material allowing the user to test the package with example data |
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Call to online documentation |
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Provide descriptive statistics for variables in a dataset |
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Provide descriptive statistics for variables of categorical in a dataset |
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Provide descriptive statistics for variables of type 'date' in a dataset |
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Provide descriptive statistics for variables of type 'datetime' in a dataset |
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Provide descriptive statistics for variables of type 'numeric' in a dataset |
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Provide descriptive statistics for variables of type 'text' in a dataset |
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Convert typeof (and class if any) into its corresponding valueType |
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Attribute the valueType from a data dictionary to a dataset, or vice versa |
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Convert valueType into its corresponding typeof and class in R representation |
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Guess the first possible valueType of an object (Can be a vector) |
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Built-in data frame of allowed valueType values |
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Return the valueType of an object |
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Self-adjust the valueType from a data dictionary or a dataset. |
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Generate a list of charts, figures and summary tables of a variable |