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#' Position scales for continuous y data
#'
#' `scale_y_continuous_hdx()` and the three variants with different `trans`
#' arguments are defaults scales for the y axis that ensures the distance
#' from data to the y-axis is reduced to 0, as is common throughout the HDX
#' data visualization guidelines. This is done by setting `expand = c(0, 0)`.
#'
#' @inherit ggplot2::scale_y_continuous details
#' @param ... Other arguments pass on to [ggplot2::scale_y_continuous()].
#'
#' @rdname scale_y_hdx
#'
#' @examples
#' library(ggplot2)
#'
#' p <- ggplot(df_covid) +
#' geom_line(
#' aes(
#' x = date,
#' y = cases_monthly
#' )
#' )
#'
#' p
#'
#' # start y axis at 0
#' p + scale_y_continuous_hdx()
#' p + scale_y_log10_hdx()
#'
#' @return `ggplot2::ScaleContinuousPosition` object to scale a
#' `ggplot2::ggplot()` plot.
#'
#' @export
scale_y_continuous_hdx <- function(...) {
ggplot2::scale_y_continuous(..., expand = c(0, 0))
}
#' @rdname scale_y_hdx
#' @export
scale_y_log10_hdx <- function(...) {
ggplot2::scale_y_log10(..., expand = c(0, 0))
}
#' @rdname scale_y_hdx
#' @export
scale_y_reverse_hdx <- function(...) {
ggplot2::scale_y_reverse(..., expand = c(0, 0))
}
#' @rdname scale_y_hdx
#' @export
scale_y_sqrt_hdx <- function(...) {
ggplot2::scale_y_sqrt(..., expand = c(0, 0))
}
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