cut_interval.fun: Partial function constructor for ggplot2 cut functions

In Ostluft/rOstluft.plot: Ploting air quality data

Partial function constructor for ggplot2 cut functions

Description

This Wrappers creates partial functions with x as sole argument of the ggplot2 cut functions

Usage

cut_interval.fun(n = NULL, length = NULL, ...)

cut_number.fun(n = NULL, ...)

cut_width.fun(
  width,
  center = NULL,
  boundary = NULL,
  closed = c("right", "left"),
  ...
)

Arguments

n	number of intervals to create, OR
length	length of each interval
...	Arguments passed on to base::cut.default breaks either a numeric vector of two or more unique cut points or a single number (greater than or equal to 2) giving the number of intervals into which x is to be cut. labels labels for the levels of the resulting category. By default, labels are constructed using "(a,b]" interval notation. If labels = FALSE, simple integer codes are returned instead of a factor. right logical, indicating if the intervals should be closed on the right (and open on the left) or vice versa. dig.lab integer which is used when labels are not given. It determines the number of digits used in formatting the break numbers. ordered_result logical: should the result be an ordered factor?
width	The bin width.
center, boundary	Specify either the position of edge or the center of a bin. Since all bins are aligned, specifying the position of a single bin (which doesn't need to be in the range of the data) affects the location of all bins. If not specified, uses the "tile layers algorithm", and sets the boundary to half of the binwidth. To center on integers, width = 1 and center = 0. boundary = 0.5.
closed	One of "right" or "left" indicating whether right or left edges of bins are included in the bin.

Value

function

See Also

• ggplot2::cut_interval()

• ggplot2::cut_number()

• ggplot2::cut_width()

Examples

data <- tibble::tibble(x = runif(100, 0, 10))

funs <- list(
  interval = cut_interval.fun(n = 5),
  number = cut_number.fun(n = 5),
  width = cut_width.fun(width = 2, boundary = 0)
)

res <- dplyr::mutate_all(tibble::tibble(x = runif(100, 0, 10)), funs)

res

table(res$interval)

table(res$number)

table(res$width)

Ostluft/rOstluft.plot documentation built on Jan. 26, 2025, 1:05 a.m.