# SpatialExperiment with tidy principles

## Documentation for package ‘tidySpatialExperiment’ version 1.6.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

add_count | Count the observations in each group
add_count.SpatialExperiment | Count the observations in each group
aggregate_cells | Aggregate cells
arrange | Order rows using column values
as_tibble | Coerce lists, matrices, and more to data frames
as_tibble.SpatialExperiment | Coerce lists, matrices, and more to data frames
bind_cols | Efficiently bind multiple data frames by row and column
bind_rows | Efficiently bind multiple data frames by row and column
count | Count the observations in each group
demo_brush_data | Demo brush data
demo_select_data | Demo select data
distinct | Keep distinct/unique rows
ellipse | Ellipse Gating Function
extract | Extract a character column into multiple columns using regular expression groups
extract.SpatialExperiment | Extract a character column into multiple columns using regular expression groups
filter | Keep rows that match a condition
filter.SpatialExperiment | Keep rows that match a condition
formatting | Printing tibbles
gate | Interactively gate cells by spatial coordinates
gate_interactive | Gate interactive
gate_programmatic | Gate spatial data with pre-recorded lasso selection coordinates
ggplot | Create a new 'ggplot' from a 'tidySpatialExperiment'
glimpse | Get a glimpse of your data
group_by | Group by one or more variables
inner_join | Mutating joins
inner_join.SpatialExperiment | Mutating joins
join_features | Extract and join information for features.
left_join | Mutating joins
left_join.SpatialExperiment | Mutating joins
mutate | Create, modify, and delete columns
mutate.SpatialExperiment | Create, modify, and delete columns
nest | Nest rows into a list-column of data frames
nest.SpatialExperiment | Nest rows into a list-column of data frames
pivot_longer | Pivot data from wide to long
plot_ly | Initiate a plotly visualization
plot_ly.SpatialExperiment | Initiate a plotly visualization
print | Printing tibbles
print.SpatialExperiment | Printing tibbles
pull | Extract a single column
rectangle | Rectangle Gating Function
rename | Rename columns
right_join | Mutating joins
right_join.SpatialExperiment | Mutating joins
rowwise | Group input by rows
sample_frac | Sample n rows from a table
sample_frac.SpatialExperiment | Sample n rows from a table
sample_n | Sample n rows from a table
sample_n.SpatialExperiment | Sample n rows from a table
select | Keep or drop columns using their names and types
select.SpatialExperiment | Keep or drop columns using their names and types
separate | Separate a character column into multiple columns with a regular expression or numeric locations
separate.SpatialExperiment | Separate a character column into multiple columns with a regular expression or numeric locations
slice | Subset rows using their positions
slice_head | Subset rows using their positions
slice_max | Subset rows using their positions
slice_min | Subset rows using their positions
slice_sample | Subset rows using their positions
slice_tail | Subset rows using their positions
summarise | Summarise each group down to one row
summarize | Summarise each group down to one row
tbl_format_header | Format the header of a tibble
tbl_format_header.tidySpatialExperiment | Format the header of a tibble
unite | Unite multiple columns into one by pasting strings together
unite.SpatialExperiment | Unite multiple columns into one by pasting strings together
unnest | Unnest a list-column of data frames into rows and columns
unnest.tidySpatialExperiment_nested | Unnest a list-column of data frames into rows and columns