All functions

append_samples(<SummarizedExperiment>)

Append samples from multiple SummarizedExperiment objects

as_tibble(<SummarizedExperiment>)

Coerce lists, matrices, and more to data frames

bind_rows(<SummarizedExperiment>) bind_cols(<SummarizedExperiment>) bind_cols(<RangedSummarizedExperiment>)

Efficiently bind multiple data frames by row and column

count(<SummarizedExperiment>)

Count the observations in each group

distinct(<SummarizedExperiment>)

Keep distinct/unique rows

extract(<SummarizedExperiment>)

Extract a character column into multiple columns using regular expression groups

filter(<SummarizedExperiment>)

Keep rows that match a condition

full_join(<SummarizedExperiment>)

Mutating joins

ggplot(<SummarizedExperiment>)

Create a new ggplot from a SummarizedExperiment

group_by(<SummarizedExperiment>)

Group by one or more variables

group_split(<SummarizedExperiment>)

Split data frame by groups

inner_join(<SummarizedExperiment>)

Mutating joins

left_join(<SummarizedExperiment>)

Mutating joins

mutate(<SummarizedExperiment>)

Create, modify, and delete columns

nest(<SummarizedExperiment>)

Nest rows into a list-column of data frames

pasilla

Read counts of RNA-seq samples of Pasilla knock-down by Brooks et al.

pivot_longer(<SummarizedExperiment>)

Pivot data from wide to long

pivot_wider(<SummarizedExperiment>)

Pivot data from long to wide

plot_ly(<tbl_df>) plot_ly(<SummarizedExperiment>)

Initiate a plotly visualization

pull(<SummarizedExperiment>)

Extract a single column

rename(<SummarizedExperiment>)

Rename columns

right_join(<SummarizedExperiment>)

Mutating joins

rowwise(<SummarizedExperiment>)

Group input by rows

sample_n(<SummarizedExperiment>) sample_frac(<SummarizedExperiment>)

Sample n rows from a table

se

Read counts of RNA-seq samples derived from Pasilla knock-down by Brooks et al.

select(<SummarizedExperiment>)

Keep or drop columns using their names and types

separate(<SummarizedExperiment>)

Separate a character column into multiple columns with a regular expression or numeric locations

slice(<SummarizedExperiment>)

Subset rows using their positions

summarise(<SummarizedExperiment>) summarize(<SummarizedExperiment>)

Summarise each group down to one row

tidy()

tidy for Seurat

unite(<SummarizedExperiment>)

Unite multiple columns into one by pasting strings together

unnest(<tidySummarizedExperiment_nested>) unnest_summarized_experiment()

Unnest a list-column of data frames into rows and columns