之前画双Y轴的图都是自己写函数用ggplot2去制作，偶然间发现了ggpubr包一种可视化的形式，大家可以一起学习下~
加载包构建数据
library(ggpubr)
library(cowplot)
set.seed(1234)
wdata = data.frame(
sex = factor(rep(c("F", "M"), each=200)),
weight = c(rnorm(200, 55), rnorm(200, 58)))
head(wdata)
基础直方图
# Basic histogram without the density curve
gghistogram(
wdata, x = "weight",
add = "mean", rug = TRUE,
fill = "sex", palette = c("#00AFBB", "#E7B800")
)
# Add the density curve on the same axis
gghistogram(
wdata, x = "weight", y = "..density..",
add = "mean", rug = TRUE,
fill = "sex", palette = c("#00AFBB", "#E7B800"),
add_density = TRUE
)
图片.png
绘制双 Y 轴
原理其实就是先绘制直方图，再绘制密度图，将Y轴放在右侧，X轴的内容删除，合并起来即可
# 1. Create the histogram plot
phist <- gghistogram(
wdata, x = "weight",
add = "mean", rug = TRUE,
fill = "sex", palette = c("#00AFBB", "#E7B800")
)
# 2. Create the density plot with y-axis on the right
# Remove x axis elements
pdensity <- ggdensity(
wdata, x = "weight",
color= "sex", palette = c("#00AFBB", "#E7B800"),
alpha = 0
) +
scale_y_continuous(expand = expansion(mult = c(0, 0.05)), position = "right") +
theme_half_open(11, rel_small = 1) +
rremove("x.axis")+
rremove("xlab") +
rremove("x.text") +
rremove("x.ticks") +
rremove("legend")
# 3. Align the two plots and then overlay them.
aligned_plots <- align_plots(g1,g2, align="hv", axis="tblr")
ggdraw(aligned_plots[[1]]) + draw_plot(aligned_plots[[2]])
图片.png
