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* write `stat_manual()` * document * add test * add news bullet * fix examples with double point layers * add to pkgdown index * document `geom` slot
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#' Manually compute transformations | ||
#' | ||
#' `stat_manual()` takes a function that computes a data transformation for | ||
#' every group. | ||
#' | ||
#' @inheritParams layer | ||
#' @inheritParams geom_point | ||
#' @param fun Function that takes a data frame as input and returns a data | ||
#' frame or data frame-like list as output. The default (`identity()`) returns | ||
#' the data unchanged. | ||
#' @param args A list of arguments to pass to the function given in `fun`. | ||
#' | ||
#' @eval rd_aesthetics("stat", "manual") | ||
#' @section Aesthetics: | ||
#' Input aesthetics are determined by the `fun` argument. Output aesthetics must | ||
#' include those required by `geom`. Any aesthetic that is constant within a | ||
#' group will be preserved even if dropped by `fun`. | ||
#' | ||
#' @export | ||
#' | ||
#' @examples | ||
#' # A standard scatterplot | ||
#' p <- ggplot(mtcars, aes(disp, mpg, colour = factor(cyl))) + | ||
#' geom_point() | ||
#' | ||
#' # The default just displays points as-is | ||
#' p + stat_manual() | ||
#' | ||
#' # Using a custom function | ||
#' make_hull <- function(data) { | ||
#' hull <- chull(x = data$x, y = data$y) | ||
#' data.frame(x = data$x[hull], y = data$y[hull]) | ||
#' } | ||
#' | ||
#' p + stat_manual( | ||
#' geom = "polygon", | ||
#' fun = make_hull, | ||
#' fill = NA | ||
#' ) | ||
#' | ||
#' # Using the `with` function with quoting | ||
#' p + stat_manual( | ||
#' fun = with, | ||
#' args = list(expr = quote({ | ||
#' hull <- chull(x, y) | ||
#' list(x = x[hull], y = y[hull]) | ||
#' })), | ||
#' geom = "polygon", fill = NA | ||
#' ) | ||
#' | ||
#' # Using the `transform` function with quoting | ||
#' p + stat_manual( | ||
#' geom = "segment", | ||
#' fun = transform, | ||
#' args = list( | ||
#' xend = quote(mean(x)), | ||
#' yend = quote(mean(y)) | ||
#' ) | ||
#' ) | ||
#' | ||
#' # Using dplyr verbs with `vars()` | ||
#' if (requireNamespace("dplyr", quietly = TRUE)) { | ||
#' | ||
#' # Get centroids with `summarise()` | ||
#' p + stat_manual( | ||
#' size = 10, shape = 21, | ||
#' fun = dplyr::summarise, | ||
#' args = vars(x = mean(x), y = mean(y)) | ||
#' ) | ||
#' | ||
#' # Connect to centroid with `mutate` | ||
#' p + stat_manual( | ||
#' geom = "segment", | ||
#' fun = dplyr::mutate, | ||
#' args = vars(xend = mean(x), yend = mean(y)) | ||
#' ) | ||
#' | ||
#' # Computing hull with `reframe()` | ||
#' p + stat_manual( | ||
#' geom = "polygon", fill = NA, | ||
#' fun = dplyr::reframe, | ||
#' args = vars(hull = chull(x, y), x = x[hull], y = y[hull]) | ||
#' ) | ||
#' } | ||
stat_manual <- function( | ||
mapping = NULL, | ||
data = NULL, | ||
geom = "point", | ||
position = "identity", | ||
..., | ||
fun = identity, | ||
args = list(), | ||
na.rm = FALSE, | ||
show.legend = NA, | ||
inherit.aes = TRUE) { | ||
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layer( | ||
data = data, | ||
mapping = mapping, | ||
stat = StatManual, | ||
geom = geom, | ||
position = position, | ||
show.legend = show.legend, | ||
inherit.aes = inherit.aes, | ||
params = list2( | ||
na.rm = na.rm, | ||
fun = fun, | ||
args = args, | ||
... | ||
) | ||
) | ||
} | ||
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#' @rdname ggplot2-ggproto | ||
#' @format NULL | ||
#' @usage NULL | ||
#' @export | ||
StatManual <- ggproto( | ||
"StatManual", Stat, | ||
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setup_params = function(data, params) { | ||
params$fun <- allow_lambda(params$fun) | ||
check_function(params$fun, arg = "fun") | ||
params | ||
}, | ||
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compute_group = function(data, scales, fun = identity, args = list()) { | ||
as_gg_data_frame(inject(fun(data, !!!args))) | ||
} | ||
) |
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