时间戳

首页 > 解决方案 > 如何在r中的箱线图之间创建单独的线图

r - 如何在r中的箱线图之间创建单独的线图

问题描述

我正在尝试创建如下图所示的图，其中各个数据线位于箱形图之间。在 R ggplot2 中创建的图像

我得到的最接近的是这样的： 使用 ggplot2 的图像，但后面的线/点看起来有点混乱。

data1 %>%
ggplot(aes(Time,Trait)) +
geom_line(aes(group=ID), position = "identity")+
geom_point(aes(group=ID), shape=21, colour="black", size=2, position = "identity")+
geom_boxplot(width=.5,position = position_dodge(width=0.9), fill="white") +
stat_summary(fun.data= mean_cl_boot, geom = "errorbar", width = 0.1,  position = position_dodge(width = .9)) +
stat_summary(fun = mean, geom = "point", shape = 18, size=3, position = "identity")+
facet_wrap(~Cond) +
theme_classic()

任何提示将非常感谢！

标签： rggplot2boxplotline-plot

解决方案

实现所需结果的一种选择是使用连续 x 比例。这样做可以将箱线图向左或向右移动，反之亦然，用于点和线：

利用一些随机数据来模拟你的真实数据集。


data1$Time1 <- as.numeric(factor(data1$Time, levels = c("Pre", "Post")))
data1$Time_box <- data1$Time1 + .1 * ifelse(data1$Time == "Pre", -1, 1)
data1$Time_lp <- data1$Time1 + .1 * ifelse(data1$Time == "Pre", 1, -1)

library(ggplot2)
ggplot(data1, aes(x = Time_box, y = Trait)) +
  geom_line(aes(x = Time_lp, group=ID), position = "identity")+
  geom_point(aes(x = Time_lp, group=ID), shape=21, colour="black", size=2, position = "identity")+
  geom_boxplot(aes(x = Time_box, group=Time1), width=.25, fill="white") +
  stat_summary(fun.data = mean_cl_boot, geom = "errorbar", width = 0.1) +
  stat_summary(fun = mean, geom = "point", shape = 18, size=3, position = "identity") +
  scale_x_continuous(breaks = c(1, 2), labels = c("Pre", "Post")) +
  facet_wrap(~Cond) +
  theme_classic()

数据

set.seed(42)

data1 <- data.frame(
  ID = rep(1:10, 4),
  Time = rep(c("Pre", "Post"), each = 10),
  Trait = runif(40),
  Cond = rep(c("MBSR", "SME"), each = 20)
)

编辑如果您想并排放置两个箱线图，则基本相同。但是，在这种情况下，您必须将interactionof和映射在美学上Time1的变量映射到（可能还有误差线）：fillgroupgeom_boxplot

library(ggplot2)

set.seed(42)

data1 <- data.frame(
  ID = rep(1:10, 4),
  Time = rep(c("Pre", "Post"), each = 10),
  Fill = rep(c("Fill1", "Fill2"), each = 5),
  Trait = runif(40),
  Cond = rep(c("MBSR", "SME"), each = 20)
)

ggplot(data1, aes(x = Time_box, y = Trait)) +
  geom_line(aes(x = Time_lp, group=ID, color = Fill), position = "identity")+
  geom_point(aes(x = Time_lp, group=ID, fill = Fill), shape=21, colour="black", size=2, position = "identity")+
  geom_boxplot(aes(x = Time_box, group=interaction(Time1, Fill) , fill = Fill), width=.25) +
  stat_summary(fun.data = mean_cl_boot, geom = "errorbar", width = 0.1) +
  stat_summary(fun = mean, geom = "point", shape = 18, size=3, position = "identity") +
  scale_x_continuous(breaks = c(1, 2), labels = c("Pre", "Post")) +
  facet_wrap(~Cond) +
  theme_classic()

推荐阅读