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| detect | Sort column subsets. |
| dup | Show duplicate or duplicated elements. |
| dup.grouped_df | Show records with duplicate or duplicated values of grouping variables. |
| dupGroups | Calculate dupGroups. |
| dupGroups.grouped_df | Count records with with duplicate or duplicated values of grouping variables. |
| enumerate | Count unique combinations of items in specified columns. |
| group_by_all | Group by all columns. |
| ignore | Drop columns in x that are present in y. |
| informative | Drop columns in x that are entirely NA. |
| informative.data.frame | Drop columns in x that are entirely NA. |
| itemize | Show unique combinations of items in specified columns |
| key | Fetch the key. |
| key.grouped_df | Fetch the key for a grouped_df as character vector |
| na | Show na elements. |
| na.grouped_df | Show records with NA values of grouping variables. |
| naGroups | Calculate naGroups. |
| naGroups.grouped_df | Count records with NA values of grouping variables. |
| sort.grouped_df | Arrange by groups. |
| static | Find unique records for subset of columns with one unique value. |
| status | Report status. |
| status.grouped_df | Report status with respect to grouping variables. |
| unsorted | Show unsorted elements. |
| unsorted.grouped_df | Find records whose relative positons would change if sorted. |
| weak | Show na, duplicate, or duplicated elements. |
| weak.grouped_df | Show records with NA, duplicate or duplicated values of grouping variables. |
| wrangle | Report status with respect to grouping variables. |