hacksaw (version 0.0.2)

filter_split: Perform various operations before splitting

Description

Evaluate expressions over a data frame, resulting in a list.

Usage

filter_split(.data, ...)
select_split(.data, ...)
count_split(.data, ...)
mutate_split(.data, ...)
distinct_split(.data, ..., simplify = TRUE)
transmute_split(.data, ..., simplify = TRUE)
slice_split(.data, ...)
pull_split(.data, ...)
group_by_split(.data, ...)
eval_split(.data, ...)
precision_split(.data, ...)

Arguments

.data

A table of data.

...

Expressions to be evaluated.

simplify

Boolean, whether to unlist the returned split.

Value

A list.

Examples

# NOT RUN {
library(dplyr)
mtcars %>% filter_split(cyl == 4, cyl == 6)
iris %>% select_split(starts_with("Sepal"), starts_with("Petal"))
mtcars %>% count_split(gear, carb, across(c(cyl, gear)))
mtcars %>% mutate_split(mpg2 = mpg^2, mpg3 = mpg^3)
mtcars %>% distinct_split(cyl, carb)
mtcars %>% transmute_split(mpg^2, sqrt(mpg))
mtcars %>% slice_split(1:10, 11:20)
mtcars %>% pull_split(mpg, hp)
mtcars %>% group_by_split(cyl, gear, across(c(cyl, gear)))
mtcars %>% eval_split(select(mpg, hp), filter(mpg>25), mutate(mpg2 = mpg^2))
mtcars %>% precision_split(mpg > 25)
# }