| extrema_by | R Documentation |
Find rows with maxima/minima in given columns.
max_by(.data, .col, ...)
## S3 method for class 'ExprBuilder'
max_by(
.data,
.col,
...,
.some = FALSE,
.chain = getOption("table.express.chain", TRUE)
)
## S3 method for class 'data.table'
max_by(.data, .col, ..., .expr = FALSE)
min_by(.data, .col, ...)
## S3 method for class 'ExprBuilder'
min_by(
.data,
.col,
...,
.some = FALSE,
.chain = getOption("table.express.chain", TRUE)
)
## S3 method for class 'data.table'
min_by(.data, .col, ..., .expr = FALSE)
.data |
An instance of ExprBuilder. |
.col |
A character vector indicating the columns that will be searched for extrema. |
... |
Optionally, columns to group by, either as characters or symbols. |
.some |
If |
.chain |
Logical. Should a new frame be automatically chained to the expression if the clause being set already exists? |
.expr |
If the input is a |
These verbs implement the idiom shown here by
leveraging nest_expr(). The whole nested expression is assigned to i in the data.table's
frame. It is probably a good idea to use this on a frame that has no other frames preceding it
in the current expression, given that nest_expr() uses the captured data.table, so consider
using chain() when needed.
Several columns can be specified in .col, and depending on the value of .some, the rows with
all or some extrema are returned, using & or | respectively. Depending on your data, using
more than one column might not make sense, resulting in an empty data.table.
data("mtcars")
data.table::as.data.table(mtcars) %>%
max_by("mpg", "vs")
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