Man pages for tidyseurat
Brings Seurat to the Tidyverse
| add_class | Add class to abject |
| aggregate_cells | Aggregate cells |
| arrange | Order rows using column values |
| as_tibble | Coerce lists, matrices, and more to data frames |
| bind_rows | #' Efficiently bind multiple data frames by row and column |
| cell_type_df | Cell types of 80 PBMC single cells |
| count | Count the observations in each group |
| distinct | Keep distinct/unique rows |
| drop_class | Remove class to abject |
| extract | Extract a character column into multiple columns using... |
| filter | Keep rows that match a condition |
| formatting | Printing tibbles |
| full_join | Mutating joins |
| get_abundance_sc_long | get abundance long |
| get_abundance_sc_wide | get abundance wide |
| ggplot | Create a new 'ggplot' from a 'tidyseurat' |
| glimpse | Get a glimpse of your data |
| group_by | Group by one or more variables |
| inner_join | Mutating joins |
| join_features | join_features |
| join_transcripts | (DEPRECATED) Extract and join information for transcripts. |
| left_join | Mutating joins |
| mutate | Create, modify, and delete columns |
| nest | Nest rows into a list-column of data frames |
| pbmc_small_nested_interactions | Intercellular ligand-receptor interactions for 38 ligands... |
| pipe | Pipe operator |
| pivot_longer | Pivot data from wide to long |
| plotly | Initiate a plotly visualization |
| pull | Extract a single column |
| quo_names | Convert array of quosure (e.g. c(col_a, col_b)) into... |
| rename | Rename columns |
| return_arguments_of | returns variables from an expression |
| right_join | Mutating joins |
| rowwise | Group input by rows |
| sample_n | Sample n rows from a table |
| select | Keep or drop columns using their names and types |
| separate | Separate a character column into multiple columns with a... |
| slice | Subset rows using their positions |
| summarise | Summarise each group down to one row |
| tbl_format_header | Format the header of a tibble |
| tidy | tidy for 'Seurat' |
| unite | Unite multiple columns into one by pasting strings together |
| unnest | Unnest a list-column of data frames into rows and columns |
