Reference

All functions
aggregate_cells(<SingleCellExperiment>)	Aggregate cells
arrange(<SingleCellExperiment>)	Order rows using column values
as_tibble(<SingleCellExperiment>)	Coerce lists, matrices, and more to data frames
bind_rows(<SingleCellExperiment>) bind_cols(<SingleCellExperiment>)	Efficiently bind multiple data frames by row and column
cell_type_df	Cell types of 80 PBMC single cells
count(<SingleCellExperiment>) add_count(<SingleCellExperiment>)	Count the observations in each group
distinct(<SingleCellExperiment>)	Keep distinct/unique rows
extract(<SingleCellExperiment>)	Extract a character column into multiple columns using regular expression groups
filter(<SingleCellExperiment>)	Keep rows that match a condition
print(<SingleCellExperiment>)	Printing tibbles
full_join(<SingleCellExperiment>)	Mutating joins
ggplot(<SingleCellExperiment>)	Create a new ggplot from a tidySingleCellExperiment
glimpse(<tidySingleCellExperiment>)	Get a glimpse of your data
group_by(<SingleCellExperiment>)	Group by one or more variables
group_split(<SingleCellExperiment>)	Split data frame by groups
inner_join(<SingleCellExperiment>)	Mutating joins
join_features(<SingleCellExperiment>)	join_features
join_transcripts()	(DEPRECATED) Extract and join information for transcripts.
left_join(<SingleCellExperiment>)	Mutating joins
mutate(<SingleCellExperiment>)	Create, modify, and delete columns
nest(<SingleCellExperiment>)	Nest rows into a list-column of data frames
pbmc_small	pbmc_small
pbmc_small_nested_interactions	Intercellular ligand-receptor interactions for 38 ligands from a single cell RNA-seq cluster.
pivot_longer(<SingleCellExperiment>)	Pivot data from wide to long
plot_ly(<SingleCellExperiment>)	Initiate a plotly visualization
pull(<SingleCellExperiment>)	Extract a single column
rename(<SingleCellExperiment>)	Rename columns
return_arguments_of()	returns variables from an expression
right_join(<SingleCellExperiment>)	Mutating joins
rowwise(<SingleCellExperiment>)	Group input by rows
sample_n(<SingleCellExperiment>) sample_frac(<SingleCellExperiment>)	Sample n rows from a table
select(<SingleCellExperiment>)	Keep or drop columns using their names and types
separate(<SingleCellExperiment>)	Separate a character column into multiple columns with a regular expression or numeric locations
slice(<SingleCellExperiment>) slice_sample(<SingleCellExperiment>) slice_head(<SingleCellExperiment>) slice_tail(<SingleCellExperiment>) slice_min(<SingleCellExperiment>) slice_max(<SingleCellExperiment>)	Subset rows using their positions
summarise(<SingleCellExperiment>) summarize(<SingleCellExperiment>)	Summarise each group down to one row
tbl_format_header(<tidySingleCellExperiment>)	Format the header of a tibble
tidy()	tidy for `SingleCellExperiment`
unite(<SingleCellExperiment>)	Unite multiple columns into one by pasting strings together
unnest(<tidySingleCellExperiment_nested>) unnest_single_cell_experiment()	Unnest a list-column of data frames into rows and columns