在R中显示多个置信区间

在R中显示多个置信区间，可以通过以下步骤实现：

1. 在R中加载所需的库和函数。library(ggplot2) library(ggpubr) library(gganimate)data(iris)iris$new_variable <- iris$Sepal.Lengthggplot(data = iris, aes(x = new_variable, y = Sepal.Length)) + geom_point(color = "blue") + stat_function(fun = dnorm, args = list(mean = mean(iris$new_variable), sd = sd(iris$new_variable)), color = "red") + labs(title = "Standard Normal Probability Plot", x = "New Variable", y = "Sepal.Length") + theme_bw()ggplot(data = iris, aes(x = new_variable, y = Sepal.Length)) + geom_point(color = "blue") + stat_function(fun = dnorm, args = list(mean = mean(iris$new_variable), sd = sd(iris$new_variable)), color = "red") + labs(title = "Standard Normal Probability Plot", x = "New Variable", y = "Sepal.Length") + theme_bw() + ggtitle("Confidence Interval: 95%") + geom_vline(xintercept = mean(iris$new_variable), color = "red", linetype = "dashed") + geom_vline(xintercept = quantile(iris$new_variable, 0.95), color = "red", linetype = "solid")p <- ggplot(data = iris, aes(x = new_variable, y = Sepal.Length)) + geom_point(color = "blue") + stat_function(fun = dnorm, args = list(mean = mean(iris$new_variable), sd = sd(iris$new_variable)), color = "red") + labs(title = "Standard Normal Probability Plot", x = "New Variable", y = "Sepal.Length") + theme_bw() + ggtitle("Confidence Interval: 95%") + geom_vline(xintercept = mean(iris$new_variable), color = "red", linetype = "dashed") + geom_vline(xintercept = quantile(iris$new_variable, 0.95), color = "red", linetype = "solid") animate(p, nframes = nrow(iris), fps = 10, anim = "extend")以上代码将绘制一个包含多个置信区间的散点图，其中置信区间将使用不同的颜色和线型进行绘制。同时，该图还包含了一个动画，可以展示置信区间的变化。
2. 创建一个数据集。
3. 在数据集中添加要显示置信区间的变量。
4. 使用ggplot2绘制散点图。
5. 使用ggpubr添加置信区间。
6. 使用gganimate添加动画。