r - 将误差线添加到 plotly box plot 中的点

Question

我正在为这些数据创建一个 R plotly boxplot:

set.seed(1)
df <- data.frame(value = rnorm(100),
                 value.error. = runif(100,0.01,0.1), 
                 treatment = rep(LETTERS[1:10], 10), 
                 replicate = rep(1:10, 10), stringsAsFactors = F)
df$treatment <- factor(df$treatment)

在每个框中我将重复作为点添加的位置:

library(dplyr)
plotly::plot_ly(x = df$treatment, split = df$treatment, y = df$value, 
                type = "box", showlegend = F, color = df$treatment,
                boxpoints = F, fillcolor = 'white') %>%
  plotly::add_trace(x = df$treatment, y = df$value, type = 'scatter', mode = "markers", 
                    marker = list(size = 8), showlegend = F, color = df$treatment)

给出:

现在我想为每个点添加垂直误差条(根据 df$value.error)。

这个:

plotly::plot_ly(x = df$treatment, split = df$treatment, y = df$value,
                type = "box", showlegend = F, color = df$treatment, 
                boxpoints = F, fillcolor = 'white') %>%
  plotly::add_trace(x = df$treatment, y = df$value, type = 'scatter', mode = "markers", 
                    marker = list(size = 8), showlegend = F, color = df$treatment) %>%
  plotly::add_trace(error_y = list(array = df$sd), showlegend = F)

给我上面相同的 plotly 。

但是，如果我只绘制点并使用以下方法添加它们的错误:

plotly::plot_ly(x = df$treatment, y = df$value, 
                type = 'scatter', mode = "markers", 
                marker = list(size = 8), showlegend = F, color = df$treatment) %>%
  plotly::add_trace(error_y =list(array = df$sd), showlegend = F)

我确实得到了带有垂直误差线的点:

所以我的问题是如何让方框 + 点 + 误差线起作用？而且，如果该解决方案还可以将抖动点与其误差条结合起来，那就更好了。

Answer 1

您可以在绘制点和误差线后添加箱线图。

library(plotly)

plot_ly(data = df,
        x = ~treatment, y = ~value, 
        type = 'scatter', mode = "markers", 
        marker = list(size = 8), showlegend = F, color = df$treatment) %>%
  add_trace(error_y =list(array = ~value.error.), showlegend = F) %>% 
  add_boxplot(x = ~treatment, split = ~treatment, y = ~value, 
              showlegend = F, color = ~treatment,
              boxpoints = F, fillcolor = 'white')

数据:

set.seed(1)
df <- data.frame(value = rnorm(100), 
                 value.error. = runif(100,0.01,0.1), 
                 treatment = rep(LETTERS[1:10], 10), 
                 replicate = rep(1:10, 10), 
                 stringsAsFactors = F)
df$treatment <- factor(df$treatment)