Highcharter堆叠列分组不使用hchart（）

Question

我正在尝试使用Highcharter创建带分组的堆积条形图，并且需要在不使用hchart()功能的情况下创建它。我有以下代码（hchart()部分工作）。

data <- data.frame(
  building = c("Building A", "Building A", "Building B", "Building B"),
  type = c("Rent", "Owned"),
  measure = c(100, 35, 124, 150),
  measure_target = c(95, 20, 122, 145)
)

# This works
hchart(data, "column", hcaes(x = "building", y = "measure", group = "type")) %>%
  hc_plotOptions(column = list(stacking = "normal"))

# How do we go from the above, to something like this?
highchart() %>%
  hc_xAxis(categories = data$building) %>%
  hc_add_series(type = "column", data = data$measure) %>%
  hc_plotOptions(column = list(stacking = "normal"))

下面的预期输出。最终目标是添加堆叠条形，然后使用另一个hc_add_series跟随它，这将在measure_target列中添加一系列点（因此比较实际值与目标值）。

我需要类似的东西：

除了目标之外有两个堆叠的条形和一条线，例如：

Answer 1

这样的东西？

library(highcharter)
library(dplyr)

data <- data.frame(
  building = c("Building A", "Building A", "Building B", "Building B"),
  type = c("Rent", "Owned"),
  measure = c(100, 35, 124, 150),
  measure_target = c(95, 20, 122, 145)
)

data_lst <- data %>% 
  group_by(type) %>% 
  do(data = list_parse2(.[, c('building', 'measure')])) %>% 
  rename(name = type) %>% 
  mutate(type = 'column') %>% 
  list_parse()


data_lst2 <- data %>% 
  group_by(type) %>% 
  do(data = list_parse2(.[, c('building', 'measure_target')])) %>% 
  rename(name = type) %>% 
  mutate(type = 'scatter') %>% 
  list_parse()


highchart() %>%
  hc_xAxis(categories = data$building) %>%
  hc_add_series_list(data_lst)%>%
  hc_add_series_list(data_lst2)%>%
  hc_plotOptions(series=list(stacking='normal'))