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#' Create a new layering function.
#'
#' The layer function is run, and then the state before the code was run
#' is restored - this allows layers to be effectively isolated from
#' the rest of the plot.
#'
#' @param vis The ggvis visualisation to modify.
#' @param fun A function that takes a single argument, the current
#' visualisation as input, and returns a modified visualisation.
#' @keywords internal
#' @export
#' @examples
#' mtcars %>% ggvis(~mpg) %>%
#' layer_f(function(v) {
#' v %>% compute_bin(~mpg) %>% layer_points(x = ~x_, y = ~count_)
#' }) %>%
#' layer_points(y = ~wt)
layer_f <- function(vis, fun) {
# Save current data and props
old_data <- vis$cur_data
old_props <- vis$cur_props
vis <- fun(vis)
# Restore previous data and props
vis$cur_data <- old_data
vis$cur_props <- old_props
vis
}
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