Nothing
grates_int_period_env <- new.env(parent = emptyenv())
# -------------------------------------------------------------------------
#' Integer-period scale (Experimental)
#'
# -------------------------------------------------------------------------
#' ggplot2 scale for an integer-period vector.
#'
# -------------------------------------------------------------------------
#' @param breaks
#'
#' A `<grates_int_period>` vector of the desired breaks.
#'
#' @param n.breaks `[integer]`
#'
#' Approximate number of breaks calculated using `scales::breaks_pretty`
#' (default 6L).
#'
#' Will only have an effect if `breaks = waiver()`.
#'
#' @param centre
#'
#' Only applicable to an `int_period` object with `n > 1`.
#'
#' If FALSE labels are place at the edge of the bounds.
#'
#' If TRUE then labels are centralised and of the form `[lower, upper]`
#'
#' @param n `[integer]`
#'
#' Number used for the original grouping.
#'
#' @param ...
#'
#' Not currently used.
#'
# -------------------------------------------------------------------------
#' @return
#'
#' A scale for use with ggplot2.
#'
# -------------------------------------------------------------------------
#' @export
scale_x_grates_int_period <- function(
...,
breaks = ggplot2::waiver(),
n.breaks = 6L,
centre = FALSE,
n
) {
.check_suggests("ggplot2")
.check_suggests("scales") # precautionary but overkill as currently a dependency of ggplot2
if (!(is.logical(centre) && length(centre) == 1L) || anyNA(centre))
stop("`centre` must be boolean (TRUE/FALSE).")
if (missing(n))
n <- grates_int_period_env$n
if (is.null(n))
stop("Please specify the `n` of the grate_int_period input")
if (!is.integer(n)) {
if (!.is_whole(n))
stop("`n` must be an integer of length 1.")
n <- as.integer(n)
}
if (n < 1L)
stop("`n` must be >= 1.")
# set environment variables to NULL so they don't mess other plots up
grates_int_period_env$n <- NULL
# ggplot2 3.5.0 deprecated the `trans` argument in favour of `transform`.
# We could just force a minimum ggplot2 version and avoid this branching
# but it's relatively low effort so leaving for now.
# TODO - revisit.
if (utils::packageVersion("ggplot2") < '3.5.0') {
ggplot2::scale_x_continuous(
trans = .grates_int_period_trans(
breaks = breaks,
n.breaks = n.breaks,
centre = centre,
n = n
)
)
} else {
ggplot2::scale_x_continuous(
transform = .grates_int_period_trans(
breaks = breaks,
n.breaks = n.breaks,
centre = centre,
n = n
)
)
}
}
# ------------------------------------------------------------------------- #
#' @exportS3Method ggplot2::scale_type
scale_type.grates_int_period <- function(x) {
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
# TODO - remove this if https://github.com/tidyverse/ggplot2/issues/4705
# gets resolved
if (!"grates" %in% .packages())
stop("<grates_int_period> object found, but grates package is not attached.\n Please attach via `library(grates)`.")
# -------------------------------------------------------------------------
# -------------------------------------------------------------------------
grates_int_period_env$n <- attr(x, "n")
"grates_int_period"
}
# ------------------------------------------------------------------------- #
# ------------------------------------------------------------------------- #
# -------------------------------- INTERNALS ------------------------------ #
# ------------------------------------------------------------------------- #
# ------------------------------------------------------------------------- #
.grates_int_period_trans <- function(breaks, n.breaks, centre, n) {
shift <- if (isTRUE(centre) || n == 1) 0 else 0.5
# breaks function
brks <- function(x) {
if (inherits(breaks, "waiver")) {
dat <- scales::breaks_pretty(n.breaks)(as.numeric(x))
dat <- as.integer(floor(dat))
dat <- as.numeric(new_int_period(dat, n = n))
} else {
dat <- as.numeric(breaks)
}
dat - shift
}
# format function
fmt <- function(x) {
x <- new_int_period(x + shift, n)
if (isTRUE(centre)) {
format.grates_int_period(x)
} else {
x <- as.integer.grates_int_period(x)
format(x)
}
}
scales::trans_new(
"grates_int_period",
transform = as.numeric,
inverse = as.numeric,
breaks = brks,
format = fmt
)
}
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