Question

在绘图图中添加水平显着条（和星）的R plot_ly命令是什么？ "How to draw the boxplot with significant level?"和"Put stars on ggplot barplots and boxplots - to indicate the level of significance (p-value)"的答案为ggplot提供了良好的代码。

首先，确定意义：

library(lsmeans)
lsmeans(lm(data = iris, Sepal.Width ~ Species), pairwise ~ Species)
     $contrasts
     contrast               estimate         SE  df t.ratio p.value
     setosa - versicolor       0.658 0.06793755 147   9.685  <.0001
     setosa - virginica        0.454 0.06793755 147   6.683  <.0001
     versicolor - virginica   -0.204 0.06793755 147  -3.003  0.0088

以下是绘图的示例R代码。如何添加线条和星星？

library(plotly)
p <- plot_ly()
p <- add_boxplot(p, data = iris, x = ~Species, y = ~Sepal.Width, 
                 color = ~Species, boxpoints = "all", jitter = 0.3, pointpos = 0)
# p <- add_paths(p, data = iris, ???)
# p <- add_line(p, data = iris, ???)
p

Answer 1

可怕的hacky解决方案，提供所需的输出

将括号添加为单独的线迹
在隐藏条形图上添加重要性标记作为标签
通过layout

使用注释的问题在于无法将星号放在正确的位置，三个箱图表示三个分类x值。新的x值通过条形图添加。

library(plotly)
p <- plot_ly()
p <- add_bars(p, 
              x = c('setosa', 'setosa0', 'versicolor', 'versicolor0', 'virginica'),
              y = c(3.5, 4.6, 2.5, 4.1, 3),
              opacity=1,
              showlegend = F,
              marker=list(line = list(color='rgba(0,0,0,0'),
                          color = 'rgba(0,0,0,0'),
              text = c('', '**', '', '*', ''),
              textposition = 'outside',
              legendgroup = "1"
)
p <- add_lines(p, 
               x = c('setosa', 'setosa', 'versicolor', 'versicolor'),
               y = c(4.5, 4.6, 4.6, 4.5),
               showlegend = F,
               line = list(color = 'black'),
               legendgroup = "1",
               hoverinfo = 'none'
)

p <- add_lines(p, 
               x = c('versicolor', 'versicolor', 'virginica', 'virginica'),
               y = c(4.0, 4.1, 4.1, 4.0),
               showlegend = F,
               line = list(color = 'black'),
               legendgroup = "1",
               hoverinfo = 'none'
)


p <- add_boxplot(p, data = iris, x = ~Species, y = ~Sepal.Width, 
                 color = ~Species, boxpoints = "all", jitter = 0.3, pointpos = 0,
                 legendgroup="1")


p <- layout(p,
            xaxis = list(tickmode = 'array',
                         tickvals = c('setosa', 'sf', 'versicolor', 'vet', 'virginica'),
                         ticktext = c('setosa', '', 'versicolor', '', 'virginica')),
            yaxis = list(range = c(0, 5))
            )
p

下图显示了用于获取图表的所有隐藏痕迹：

在R plot_ly中添加boxplot重要性指示线和星号

1 个答案: