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All functions

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