close_intervals-methods: Re-represent integer intervals with open or closed endpoints

In intervals: Tools for Working with Points and Intervals

Re-represent integer intervals with open or closed endpoints

Description

Given an integer interval matrix, adjust endpoints so that all intervals have the requested closure status.

Usage

## S4 method for signature 'Intervals_virtual'
close_intervals(x)

## S4 method for signature 'Intervals_virtual'
open_intervals(x)

## S4 method for signature 'Intervals'
adjust_closure(x, close_left = TRUE, close_right = TRUE)

## S4 method for signature 'Intervals_full'
adjust_closure(x, close_left = TRUE, close_right = TRUE)

Arguments

x	An object of appropriate class, and for which x@type == "Z". If x@type == "R", an error is generated.
close_left	Should the left endpoints be closed or open?
close_right	Should the right endpoints be closed or open?

Value

An object of the same class as x, with endpoints adjusted as necessary and all closed(x) set to either TRUE or FALSE, as appropriate.

Note

The close_intervals and open_intervals are for convenience, and just call adjust_closure with the approriate arguments.

The x object may contain empty intervals, with at least one open endpoint, and still be valid. (Intervals are invalid if their second endpoint is less than their first.) The close_intervals method would, in such cases, create an invalid result; to prevent this, empty intervals are detected and removed, with a warning.

This package does not make a distinction between closed and open infinite endpoints: an interval with an infinite endpoint extends to (plus or minus) infinity regardless of the closure state. For example, distance_to_nearest will return a 0 when Inf is compared to both "[0, Inf)" and "[0, Inf]".

Examples

x <- Intervals(
               c( 1, 5, 10, 1, 6, 20 ),
               closed = c( TRUE, FALSE ),
               type = "Z"
               )

# Empties are dropped
close_intervals(x)
adjust_closure(x, FALSE, TRUE)

# Intervals_full
y <- as( x, "Intervals_full" )
closed(y)[1,2] <- TRUE
open_intervals(y)

intervals documentation built on July 10, 2023, 2:02 a.m.