as_tibble | Coerce lists, matrices, and more to data frames |
bind_rows | Efficiently bind multiple data frames by row and column |
count | Count the observations in each group |
distinct | Keep distinct/unique rows |
extract | Extract a character column into multiple columns using... |
filter | Keep rows that match a condition |
formatting | Printing tibbles |
full_join | Mutating joins |
ggplot | Create a new 'ggplot' from a 'tidyseurat' |
group_by | Group by one or more variables |
group_split | Split data frame by groups |
inner_join | Mutating joins |
left_join | Mutating joins |
mutate | Create, modify, and delete columns |
mutate_features | Mutate features |
mutate_samples | Mutate samples |
nest | Nest rows into a list-column of data frames |
pasilla | Read counts of RNA-seq samples of Pasilla knock-down by... |
pipe | Pipe operator |
pivot_longer | Pivot data from wide to long |
pivot_wider | Pivot data from long to wide |
plot_ly | Initiate a plotly visualization |
pull | Extract a single column |
rename | Rename columns |
right_join | Mutating joins |
rowwise | Group input by rows |
sample_n | Sample n rows from a table |
se | Read counts of RNA-seq samples derived from Pasilla... |
select | Keep or drop columns using their names and types |
separate | Separate a character column into multiple columns with a... |
slice | Subset rows using their positions |
summarise | Summarise each group down to one row |
tbl_format_header | Format the header of a tibble |
tidy | tidy for 'Seurat' |
unite | Unite multiple columns into one by pasting strings together |
unnest | Unnest a list-column of data frames into rows and columns |
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