keyed-df-one-tbl {keyholder}

One-table verbs from dplyr for keyed_df

Description

Defined methods for dplyr generic single table functions. Most of them preserve 'keyed_df' class and 'keys' attribute (excluding summarise with scoped variants, distinct and do which remove them). Also these methods modify rows in keys according to the rows modification in reference data frame (if any).

Usage

## S3 method for class 'keyed_df'
select(.data, ...)

## S3 method for class 'keyed_df'
rename(.data, ...)

## S3 method for class 'keyed_df'
mutate(.data, ...)

## S3 method for class 'keyed_df'
transmute(.data, ...)

## S3 method for class 'keyed_df'
summarise(.data, ...)

## S3 method for class 'keyed_df'
group_by(.data, ...)

## S3 method for class 'keyed_df'
ungroup(x, ...)

## S3 method for class 'keyed_df'
rowwise(data, ...)

## S3 method for class 'keyed_df'
distinct(.data, ..., .keep_all = FALSE)

## S3 method for class 'keyed_df'
do(.data, ...)

## S3 method for class 'keyed_df'
arrange(.data, ..., .by_group = FALSE)

## S3 method for class 'keyed_df'
filter(.data, ...)

## S3 method for class 'keyed_df'
slice(.data, ...)

Arguments

.data, data, x

A keyed object.

...

Appropriate arguments for functions.

.keep_all

Parameter for dplyr::distinct.

.by_group

Parameter for dplyr::arrange.

Details

dplyr::transmute() is supported implicitly with dplyr::mutate() support.

dplyr::rowwise() is not supposed to be generic in dplyr. Use rowwise.keyed_df directly.

All scoped variants of present functions are also supported.

See Also

Two-table verbs

Examples

mtcars %>% key_by(vs, am) %>% dplyr::mutate(gear = 1)