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 |