return_outliers <- function(data, key){ p1 <- ggplot(data = data) + geom_boxplot(aes_string(y = key)) box_min <- ggplot_build(p1)[["data"]][[1]][["ymin"]] box_max <- ggplot_build(p1)[["data"]][[1]][["ymax"]] # selectting outliers outliers <- subset(data, data[...
在网上找到的解决方法为设置geom_boxplot(outlier.shape = NA),并使用coord_cartesian()函数进行y轴的缩放。下面有一组随机数展示 library(tidyverse) library(patchwork) set.seed(123) # 生成随机数及离群值 df <- data.frame(y = c(-100, rnorm(100), 100)) p0 <- ggplot(df, aes(y = y)) + ...
ggplot(data, aes(y = y)) + # Create ggplot without outliers geom_boxplot(outlier.shape = NA) + coord_cartesian(ylim = quantile(data$y, c(0.1, 0.9)))Figure 2: ggplot2 Boxplot without Outliers.As you can see, we removed the outliers from our plot. Note that the y-axis limits ...
geom_boxplot()函数用于箱线图的绘制, 箱形图可显示连续变量的分布。它可视化了五个汇总统计量(中位数,两个铰链和两个胡须),以及所有单独的“离群”点。 用法: geom_boxplot( mapping = NULL, data = NULL, stat = "boxplot", position = "dodge2", ..., outliers = TRUE, outlier.colour = NULL...
p.jit <- p.box + geom_jitter(aes(x=Species, y=Sepal.Length, shape = Species, color = Species)) p.jit # ignore outliers without jittersggplot(data = iris, aes(x = Species, y = Sepal.Length)) + geom_boxplot(aes(fill = Species,alpha = 1), width = 0.8, outlier.shape = NA) ...
How to Label Outliers in Boxplots in ggplot2, This article offers a detailed illustration of how to name outliers in ggplot2 boxplots. Step 1: Construct the data frame. Create the following data frame first, which will include details on the 60 distinct basketball players who played for th...
ggplot2 dplyr boxplot outliers 1个回答 0投票 如果您使用非常简单的值范围,可能会更容易看到发生了什么 Value <- 0:100 Qu1 <- Value |> quantile(0.25) Qu3 <- Value |> quantile(0.75) IQR <- Value |> IQR() min <- Qu1 - (1.5 * IQR) max <- Qu3 + (1.5 * IQR) cat(min, ...
Outliers library(plotly) set.seed(123) df <- diamonds[sample(1:nrow(diamonds), size = 1000),] p <- ggplot(df, aes(cut, price, fill = cut)) + geom_boxplot(outlier.shape = NA) + ggtitle("Ignore outliers in ggplot2") # Need to modify the plotly object and make outlier points ha...
geom_boxplot(width = .4, outlier.shape = NA): 添加一个箱线图几何对象,箱子的宽度设置为 0.4,并且移除异常值(outliers)的点。 geom_point(size = 2, shape = 5): 在箱线图上添加点,大小为 2,形状为 5(通常是一个星号)。 labs(x = ""): 设置x 轴的标签为空字符串。 scale_y_continuous...
最典型的的,当使用geom_boxplot 绘制箱线图时,我们只提供原始数据,用来绘图的最大值,最小值,中位数,上下四分位数都由ggplot2 自动计算。 那么我们如何提取这部分计算好的数据呢,以箱线图为例进行说明 绘图代码如下: pdf("a.pdf") p <- ggplot(mpg, aes(class, hwy)) + geom_boxplot() ...