R HighCharge Errorbar系列位置道奇 [英] R Highcharter Errorbar Series Position Dodge
本文介绍了R HighCharge Errorbar系列位置道奇的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我无法使错误条正确覆盖在我的分组柱状图上。在gglot中,我会使用position=position_dodge(),但在HighChart的errorbar文档中找不到类似的内容。
这里有一个MWE:
df <- data.frame(Gender = c("Male", "Male", "Female", "Female"),
ShareType = rep(c("Long", "Short"),2),
InvestedPerAccount = c(10,9,7,8),
lower = c(8,7,6,7),
upper = c(11.5,10,9,8.8))
highchart() %>%
hc_add_series(df, "column",hcaes(x = ShareType, y = InvestedPerAccount, group = Gender),
tooltip = list(enabled = TRUE,pointFormat = '${point.y}')) %>%
hc_add_series(df, 'errorbar', hcaes(x = ShareType, low = lower, high = upper, group = Gender, grouping = FALSE)) %>%
hc_xAxis(categories = df$ShareType, title = list(text = "Share Type")) %>%
hc_colors(c("pink","lightblue"))
推荐答案
解决方案是在第一组序列中使用id
参数,然后在errorbar序列中使用linkedTo
。由于"errobar"
类型的系列默认情况下链接到上一个类型的系列。
example_dat <- tibble(Type = c("Human", "High-Elf", "Orc"),
key = c("World1", "World2", "World3")) %>%
expand.grid() %>%
mutate(mean = runif(9, 5, 7)) %>%
mutate(sd = runif(9, 0, 2))
hchart(
example_dat,
"column",
hcaes(x = key, y = mean, group = Type),
id = c("a", "b", "c")
) %>%
hc_add_series(
example_dat,
"errorbar",
hcaes(y = mean, x = key, low = mean - sd, high = mean + sd, group = Type),
linkedTo = c("a", "b", "c"),
enableMouseTracking = TRUE,
showInLegend = FALSE
) %>%
hc_plotOptions(
errorbar = list(
color = "black",
# whiskerLength = 1,
stemWidth = 1
)
)
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