filter.dtplyr_step: Subset rows using column values

In hadley/dtplyr: Data Table Back-End for 'dplyr'

Subset rows using column values

Description

This is a method for the dplyr arrange() generic. It is translated to the i argument of ⁠[.data.table⁠

Usage

## S3 method for class 'dtplyr_step'
filter(.data, ..., .by = NULL, .preserve = FALSE)

Arguments

.data	A lazy_dt().
...	<data-masking> Expressions that return a logical value, and are defined in terms of the variables in .data. If multiple expressions are included, they are combined with the & operator. Only rows for which all conditions evaluate to TRUE are kept.
.by	<tidy-select> Optionally, a selection of columns to group by for just this operation, functioning as an alternative to group_by(). For details and examples, see ?dplyr_by.
.preserve	Ignored

Examples

library(dplyr, warn.conflicts = FALSE)

dt <- lazy_dt(mtcars)
dt %>% filter(cyl == 4)
dt %>% filter(vs, am)

dt %>%
  group_by(cyl) %>%
  filter(mpg > mean(mpg))

hadley/dtplyr documentation built on Feb. 22, 2024, 4:40 a.m.