nest_distinct: Subset distinct/unique rows within a nested data frame

In nplyr: A Grammar of Nested Data Manipulation

Subset distinct/unique rows within a nested data frame

Description

nest_distinct() selects only unique/distinct rows in a nested data frame.

Usage

nest_distinct(.data, .nest_data, ..., .keep_all = FALSE)

Arguments

.data	A data frame, data frame extension (e.g., a tibble), or a lazy data frame (e.g., from dbplyr or dtplyr).
.nest_data	A list-column containing data frames
...	Optional variables to use when determining uniqueness. If there are multiple rows for a given combination of inputs, only the first row will be preserved. If omitted, will use all variables.
.keep_all	If TRUE, keep all variables in .nest_data. If a combination of ... is not distinct, this keeps the first row of values.

Details

nest_distinct() is largely a wrapper for dplyr::distinct() and maintains the functionality of distinct() within each nested data frame. For more information on distinct(), please refer to the documentation in dplyr.

Value

An object of the same type as .data. Each object in the column .nest_data will also be of the same type as the input. Each object in .nest_data has the following properties:

• Rows are a subset of the input but appear in the same order.

• Columns are not modified if ... is empty or .keep_all is TRUE. Otherwise, nest_distinct() first calls dplyr::mutate() to create new columns within each object in .nest_data.

• Groups are not modified.

• Data frame attributes are preserved.

Examples

gm_nest <- gapminder::gapminder %>% tidyr::nest(country_data = -continent)

gm_nest %>% nest_distinct(country_data, country)
gm_nest %>% nest_distinct(country_data, country, year)

nplyr documentation built on Feb. 16, 2023, 7:24 p.m.