我正在为这些数据创建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)
在每个框中的重复项中添加点:
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$treatment)
哪个给:
现在,我想向每个点添加垂直误差线(根据df$value.error
)。
此:
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)
给我上面相同的情节。
但是,如果我仅绘制点并使用以下命令添加错误:
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使方框+点+误差线起作用? 而且,如果该解决方案还可以将抖动点与误差条结合起来,那就更好了。
答案 0 :(得分:1)
您可以在绘制点和误差线后添加箱形图。
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)