rowwise | R Documentation |
rowwise()
allows you to compute on a data frame a row-at-a-time.
This is most useful when a vectorised function doesn't exist.
Most dplyr verbs preserve row-wise grouping. The exception is summarise()
,
which return a grouped_df. You can explicitly ungroup with ungroup()
or as_tibble()
, or convert to a grouped_df with group_by()
.
## S3 method for class 'Seurat'
rowwise(data, ...)
data |
Input data frame. |
... |
< NB: unlike |
A row-wise data frame with class rowwise_df
. Note that a
rowwise_df
is implicitly grouped by row, but is not a grouped_df
.
Because a rowwise has exactly one row per group it offers a small
convenience for working with list-columns. Normally, summarise()
and
mutate()
extract a groups worth of data with [
. But when you index
a list in this way, you get back another list. When you're working with
a rowwise
tibble, then dplyr will use [[
instead of [
to make your
life a little easier.
nest_by()
for a convenient way of creating rowwise data frames
with nested data.
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