
ir
object to fewer rowsSummarize each group in a ir
object to fewer rows
summarize.ir(.data, ..., .groups = NULL)summarise.ir(.data, ..., .groups = NULL)
.data
with summarized columns. If the spectra
column is dropped
or invalidated (see ir_new_ir()
), the ir
class is dropped, else the
object is of class ir
.
An object of class ir
.
<data-masking
> Name-value pairs of
summary functions. The name will be the name of the variable in the result.
The value can be:
A vector of length 1, e.g. min(x)
, n()
, or sum(is.na(y))
.
A data frame, to add multiple columns from a single expression.
Returning values with size 0 or >1 was
deprecated as of 1.1.0. Please use
reframe()
for this instead.
Grouping structure of the
result.
"drop_last": dropping the last level of grouping. This was the only supported option before version 1.0.0.
"drop": All levels of grouping are dropped.
"keep": Same grouping structure as .data
.
"rowwise": Each row is its own group.
When .groups
is not specified, it is chosen
based on the number of rows of the results:
If all the results have 1 row, you get "drop_last".
If the number of rows varies, you get "keep" (note that returning a
variable number of rows was deprecated in favor of reframe()
, which
also unconditionally drops all levels of grouping).
In addition, a message informs you of that choice, unless the result is ungrouped,
the option "dplyr.summarise.inform" is set to FALSE
,
or when summarise()
is called from a function in a package.
Other tidyverse:
arrange.ir()
,
distinct.ir()
,
extract.ir()
,
filter-joins
,
filter.ir()
,
group_by
,
mutate
,
mutate-joins
,
nest
,
pivot_longer.ir()
,
pivot_wider.ir()
,
rename
,
rowwise.ir()
,
select.ir()
,
separate.ir()
,
separate_rows.ir()
,
slice
,
unite.ir()
## summarize
# select in each sample_type groups the first spectrum
ir_sample_data |>
dplyr::group_by(sample_type) |>
dplyr::summarize(spectra = spectra[[1]])
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