ggproto:如何访问compute_layer()中的非美学参数值?

ggproto:如何访问compute_layer()中的非美学参数值?,r,ggplot2,ggproto,R,Ggplot2,Ggproto,我正在尝试制作新的几何图形和统计数据。我试过了一个StatChull代码我的目标是操纵一个外部参数,它不是一个美学价值。类似这样的东西: stat_custom(data = df, mapping = aes(x = xval, y = val), myparam = myval, geom = "custom") 问题是,当我使用compute\u group()创建自定义stat时,我可以获得自定义参数。只要我将compute\u group()更改为compute\u layer(),

我正在尝试制作新的几何图形和统计数据。我试过了一个StatChull代码我的目标是操纵一个外部参数,它不是一个美学价值。类似这样的东西:

stat_custom(data = df, mapping = aes(x = xval, y = val), myparam = myval, geom = "custom")
问题是,当我使用
compute\u group()
创建自定义stat时,我可以获得自定义参数。只要我将
compute\u group()
更改为
compute\u layer()
,程序就会停止工作

下面是stat_chull()的工作程序:

当我将compute\u group()更改为compute\u layer()时,此程序会出错:

StatChull <- ggproto("StatChull", Stat,
                     compute_layer = function(self, data, scales, params, na.rm, myparam) {
                       message("My param has value ", myparam)
                       # browser()
                       data[chull(data$x, data$y), , drop = FALSE]
                     },

                     required_aes = c("x", "y")
)

stat_chull <- function(mapping = NULL, data = NULL, geom = "polygon",
                       position = "identity", na.rm = FALSE, myparam = "", show.legend = NA, 
                       inherit.aes = TRUE, ...) {
  layer(
    stat = StatChull, data = data, mapping = mapping, geom = geom, 
    position = position, show.legend = show.legend, inherit.aes = inherit.aes,
    params = list(na.rm = na.rm, myparam = myparam, ...)
  )
}

ggplot(mpg, aes(displ, hwy)) + 
  geom_point() + 
  stat_chull(fill = NA, colour = "black", myparam = "myval")
有人能告诉我如何访问
compute\u layer()
中的参数值吗?

说明 所有
geom_*()
stat_*()
函数都是围绕
layer()
的包装器。如果我们检查其中的代码,我们可以看到与Stat相关联的参数值在
Stat_params
中被捕获,这是通过
Stat$parameters(TRUE)
获得的,其中
Stat
指的是特定的Stat*ggproto对象:

> layer
function (geom = NULL, stat = NULL, data = NULL, mapping = NULL, 
    position = NULL, params = list(), inherit.aes = TRUE, check.aes = TRUE, 
    check.param = TRUE, show.legend = NA) 
{
    ... # omitted
    params <- rename_aes(params)
    aes_params <- params[intersect(names(params), geom$aesthetics())]
    geom_params <- params[intersect(names(params), geom$parameters(TRUE))]
    stat_params <- params[intersect(names(params), stat$parameters(TRUE))]
    all <- c(geom$parameters(TRUE), stat$parameters(TRUE), geom$aesthetics())
    extra_param <- setdiff(names(params), all)
    if (check.param && length(extra_param) > 0) {
        warning("Ignoring unknown parameters: ", paste(extra_param, 
            collapse = ", "), call. = FALSE, immediate. = TRUE)
    }
    extra_aes <- setdiff(mapped_aesthetics(mapping), c(geom$aesthetics(), 
        stat$aesthetics()))
    if (check.aes && length(extra_aes) > 0) {
        warning("Ignoring unknown aesthetics: ", paste(extra_aes, 
            collapse = ", "), call. = FALSE, immediate. = TRUE)
    }
    ggproto("LayerInstance", Layer, geom = geom, geom_params = geom_params, 
        stat = stat, stat_params = stat_params, data = data, 
        mapping = mapping, aes_params = aes_params, position = position, 
        inherit.aes = inherit.aes, show.legend = show.legend)
}
请注意,我们已经为StatCharl定义了一个简单的
compute\u group
函数。由于
compute\u layer
直接返回一个数据集,因此不会触发此函数(对于Stat,在正常情况下,
compute\u group
compute\u panel
触发,而
compute\u layer
反过来又会触发该面板),但由于它确实包含
myparam
作为其函数参数之一,
myparam
现在被识别为
params
中的一个参数值

(也可以通过定义一个简单的
compute\u面板
函数来实现相同的结果。)

演示:

ggplot(mpg, aes(displ, hwy)) + 
  geom_point() + 
  stat_chull(fill = NA, colour = "black", myparam = "myval")

Warning: Ignoring unknown parameters: myparam

Error in message("My param has value ", myparam): argument "myparam" is missing, with no default
> layer
function (geom = NULL, stat = NULL, data = NULL, mapping = NULL, 
    position = NULL, params = list(), inherit.aes = TRUE, check.aes = TRUE, 
    check.param = TRUE, show.legend = NA) 
{
    ... # omitted
    params <- rename_aes(params)
    aes_params <- params[intersect(names(params), geom$aesthetics())]
    geom_params <- params[intersect(names(params), geom$parameters(TRUE))]
    stat_params <- params[intersect(names(params), stat$parameters(TRUE))]
    all <- c(geom$parameters(TRUE), stat$parameters(TRUE), geom$aesthetics())
    extra_param <- setdiff(names(params), all)
    if (check.param && length(extra_param) > 0) {
        warning("Ignoring unknown parameters: ", paste(extra_param, 
            collapse = ", "), call. = FALSE, immediate. = TRUE)
    }
    extra_aes <- setdiff(mapped_aesthetics(mapping), c(geom$aesthetics(), 
        stat$aesthetics()))
    if (check.aes && length(extra_aes) > 0) {
        warning("Ignoring unknown aesthetics: ", paste(extra_aes, 
            collapse = ", "), call. = FALSE, immediate. = TRUE)
    }
    ggproto("LayerInstance", Layer, geom = geom, geom_params = geom_params, 
        stat = stat, stat_params = stat_params, data = data, 
        mapping = mapping, aes_params = aes_params, position = position, 
        inherit.aes = inherit.aes, show.legend = show.legend)
}
> Stat$parameters
<ggproto method>
  <Wrapper function>
    function (...) 
f(..., self = self)

  <Inner function (f)>
    function (self, extra = FALSE) 
{
    panel_args <- names(ggproto_formals(self$compute_panel))
    group_args <- names(ggproto_formals(self$compute_group))
    args <- if ("..." %in% panel_args) 
        group_args
    else panel_args
    args <- setdiff(args, names(ggproto_formals(Stat$compute_group)))
    if (extra) {
        args <- union(args, self$extra_params)
    }
    args
}
StatChull <- ggproto("StatChull", 
                     Stat,
                     compute_layer = function (self, data, params, layout) {
                       message("My param has value ", params$myparam)
                       data[chull(data$x, data$y), , drop = FALSE]
                     },
                     compute_group = function(self, data, scales, na.rm, myparam) {
                       # this function is never triggered, but defined here
                       # in order for myparam to be included in stat_params
                     },
                     required_aes = c("x", "y")
)

# no change to stat_chull
ggplot(mpg, aes(displ, hwy)) + 
  geom_point() + 
  stat_chull(fill = NA, colour = "black", myparam = "myval")
My param has value myval