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