| arrange | drplyr-methods |
| arrange.default | drplyr-methods |
| as_tibble | Coerce lists, matrices, and more to data frames |
| bind | Efficiently bind multiple data frames by row and column |
| bind_cols | drplyr-methods |
| bind_rows | drplyr-methods |
| cell_type_df | Example data set 2 |
| count | Count observations by group |
| distinct | distinct |
| extract | Extract a character column into multiple columns using regular expression groups |
| filter | Subset rows using column values |
| full_join | Full join datasets |
| ggplot | Create a new ggplot from a tidyseurat object |
| group_by | Group by one or more variables |
| inner_join | Inner join datasets |
| join_transcripts | Extract and join information for transcripts. |
| left_join | Left join datasets |
| mutate | Create, modify, and delete columns |
| nest | unnest |
| nest.default | unnest |
| nest.tidyseurat | unnest |
| pbmc_small | Example data set |
| pbmc_small_nested_interactions | Example data set 2 |
| pivot_longer | Pivot data from wide to long |
| plot_ly | Initiate a plotly visualization |
| pull | Extract a single column |
| rename | Rename columns |
| right_join | Right join datasets |
| rowwise | Group input by rows |
| select | Subset columns using their names and types |
| separate | Separate a character column into multiple columns with a regular expression or numeric locations |
| slice | Subset rows using their positions |
| summarise | Summarise each group to fewer rows |
| tidy | tidy for seurat |
| unite | Unite multiple columns into one by pasting strings together |
| unnest | unnest |
| unnest.default | unnest |
| unnest.tidyseurat_nested | unnest |