我将一些实验的平均值和标准误差总结到一个数据框中,就像这个简单的例子一样:
mean <- c(-0.3378003, 0.7254329, 0.6568026, -0.1529680, 0.2809831,
-0.5420649, 0.7665903, -0.1624082, 0.9636990, 0.5978777)
se <- c(0.1,0.04,0.01,0.01,0.01,0.06,0.09,0.12,0.05,0.02)
df <- tibble(nodeId =1:10, mean_val = mean, up= mean+se, low = mean-se )
“mean”是观察到的平均值的向量,“se”是标准误差向量。在数据框中,我总结了平均值和使用标准误差计算的置信区间。
使用下面的代码,我绘制了平均值、上限区间和下限区间的 ECDF:
df%>% pivot_longer(., cols = 2:4,names_to = "type_values", values_to = "values") %>%
ggplot(., aes(x = values, color = type_values)) + stat_ecdf(geom="step")
我得到这个情节:
我想绘制平均值的 ECDF,并为下曲线和上曲线之间的区域添加阴影,而不是这些曲线。我能做什么?
尝试这个方法:
(使用不同的玩具数据框生成更多数据,并为功能区提供任意范围。)
library(ggplot2)
set.seed(1)
df <- data.frame(x = c(rnorm(100, 0, 3), rnorm(100, 0, 10)))
ggplot(df, aes(x)) +
stat_ecdf(geom = "step") +
geom_ribbon(aes(x, ymin = after_stat(ecdf) - 0.1, ymax = after_stat(ecdf) + 0.1),
alpha = 0.2, stat = "ecdf"
)
创建于 2024-04-11,使用 reprex v2.1.0