#' Resample with replacement
#'
#' @inheritParams facet_sample_prop
#'
#' @return
#' @export
#'
#' @examples
#' library(ggplot2)
#' set.seed(1323)
#' ggplot(data = cars) +
#' aes(x = speed) +
#' aes(y = dist) +
#' geom_count(alpha = .5) +
#' facet_bootstrap(n_facets = 1) +
#' facet_bootstrap(n_facets = 2) +
#' facet_bootstrap(n_facets = 3) +
#' ggxmean::geom_lm() +
#' ggxmean::geom_lm_formula() +
#' facet_bootstrap(n_facets = 15)
facet_bootstrap <- function(n_facets = 9, prop = 1, nrow = NULL, ncol = NULL,
scales = "fixed", shrink = TRUE, strip.position = "top",
seed = sample(2000:3000, 1)) {
facet <- ggplot2::facet_wrap(~.bootstrap, nrow = nrow, ncol = ncol, scales = scales,
shrink = shrink, strip.position = strip.position)
facet$params$n <- n_facets
facet$params$prop <- prop
facet$params$seed <- seed
ggplot2::ggproto(NULL, FacetBootstrap,
shrink = shrink,
params = facet$params
)
}
map_data_bootstrap <- function(data, layout, params) {
if (is.null(data) || nrow(data) == 0) {
return(cbind(data, PANEL = integer(0)))
}
n_samples <- round(nrow(data) * params$prop)
set.seed(params$seed)
new_data <- lapply(seq_len(params$n), function(i) {
cbind(data[sample(nrow(data), n_samples, replace = T), , drop = FALSE], PANEL = i)
})
do.call(rbind, new_data)
}
FacetBootstrap <- ggplot2::ggproto("FacetBootstrap", ggplot2::FacetWrap,
compute_layout = compute_layout_sample,
map_data = map_data_bootstrap
)
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