| are.attributes | check that all non-missing attributes are character and are... |
| are.operator.value | check that all attributes are greater than zero |
| are.unique | check if elements of entry are all unique |
| attribute_class | Get class type for all columns in a data frame or tibble |
| attributes_summarize | Summarize Attributes |
| attribute_stats | Get data frame summary statistics for a column of a data... |
| attribute_summary | Get data frame summary statistics for one or all columns of a... |
| classification_metrics | Classification metrics for assessing performance of... |
| combine_lists | Combine Lists |
| data_split | Split data into specified proportions |
| dot-assertions | Assertions used to change data entries and attributes |
| dot-combine_list | combine 2 lists |
| format_formula | Format character arguments into R Formula |
| get_attribute | Get Attribute From List or Data Frame |
| get_indices | Get Data Indices |
| has.attributes | check that there are attribute arguments |
| is.attribute | check that non-missing attribute argument is character and is... |
| is.bidirected | Check if x is bidirected type |
| is.categorical | check if x is categorical type |
| is.comparable | Check if x is comparable type |
| is.falsey | Check if x is false-like |
| is.substring | Check if string x is a substring of y |
| is.temporal | Check if x is temporal type |
| ops_util | utility function for formatting sets of operations |
| op_util | utility function for formatting single operation |
| remove_last_n | Remove Last N Characters |
| train_test_val | Split data into training, testing and validation sets |
| unique_counts | Counts and proportions for each unique row in a data frame or... |
| update_value | Update Value |
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