首先线看下用法

ggboxplot(data, x, y, combine = FALSE，merge=FALSE, color ="black", fill ="white", palette =NULL, title =NULL, xlab =NULL, ylab =NULL, facet.by =NULL, panel.labs =NULL, short.panel.labs =TRUE, linetype ="solid",size=NULL, width =0.7, notch =FALSE,select=NULL, remove =NULL,order=NULL,add="none", add.params =list(),error.plot ="pointrange", label =NULL, font.label =list(size=11, color ="black"), label.select =NULL, repel =FALSE, label.rectangle =FALSE,ggtheme = theme_pubr(), ...)

以下为各变量解释

data所需的数据框 dataframex
y进行作图所需的数据
combine对于多个变量的数据是否分面，默认是FALSE
merge对于多个变量的数据是否合并，默认是FALSE
color轮廓线的颜色
fill填充色
palette自定义颜色画板
title设置标题
xlab设置x轴标题
ylab设置y轴标题
orientation变换坐标轴的方向
facet.by设置分组分面
panel.labs设置分面各组的标题
short.panel.labs是否缩写分面标题，逻辑值，默认是TRUE
linetype线的类型
size设置点和轮廓线的大小
width设置柱子的宽度，取值范围 0~1
notch否添加缺口
select选择需要展示的变量
remove移除不需要展示的变量
order选定变量的排列顺序
add添加图片元素："none", "dotplot", "jitter", "boxplot", "point", "mean", "mean_se", "mean_sd", "mean_ci", "mean_range", "median", "median_iqr", "median_mad", "median_range"
add.params给add参数中添加的元素添加属性：olor, shape, size, fill, linetypeeg：add.params = list(color = "red")error.plot添加误差棒，选项有"pointrange", "linerange", "crossbar", "errorbar", "upper_errorbar", "lower_errorbar", "upper_pointrange", "lower_pointrange", "upper_linerange", "lower_linerange"。默认是"pointrange" or "errorbar"
label设置列标签font.label设置标签字号(e.g.: 14)、类型(e.g.: "plain", "bold", "italic", "bold.italic")、颜色(e.g.: "red")如：font.label = list(size = 14, face = "bold", color ="red")
repel逻辑值，是否使用ggrepel避免字体重叠
label.rectangle是否给标签添加方框ggtheme设置画图主题，默认是theme_pubr()。ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void()

以下实战，本次以survival包里面的colon数据集为例

library(ggpubr)
library(survival)
data(colon)
df <- colon
attach(df)
str(df)

colon数据集结构

ggboxplot(df, x = "rx", y = "age", width = 0.8)#基础模式

基础模式，不同化疗方案的年龄分布情况

# 变换坐标轴的方向
ggboxplot(df, x = "rx", y = "age", orientation = "horizontal")

变化坐标轴方向

# 添加箱线图缺口
ggboxplot(df, x = "rx", y = "age", notch = TRUE)

添加缺口

# 添加 jitter points 扰动点并根据不同的分组赋予不同形状
ggboxplot(df, x = "rx", y = "age", add = "jitter", shape = "rx")

扰动点并根据不同的分组赋予不同形状

# 可以选择要展示的特定列
ggboxplot(df, x = "rx", y = "age", select = c("Obs", "Lev"))

展示特定列

# 指定排列顺序
ggboxplot(df, x = "rx", y = "age", order = c("Lev+5FU","Obs", "Lev"))

指定横坐标顺序

# 更改填充色和轮廓线的颜色
ggboxplot(df, "rx", "age", color = "black", fill = "gray")

改变颜色

#设置色板并按照x分组填充
ggboxplot(df, "rx", "age", 
          fill = "rx", 
          palette = c("#00AFBB", "#E7B800", "#FC4E07"))

设置色板并按照x分组填充

#引入另外一个分组变量"sex"，并根据"sex"分组定义颜色,色板选择了JCO
ggboxplot(df, "rx", "age", 
          color = "sex",
          palette = "jco")

引出变量SEX，相当于对其进行亚组分析

# 根据"sex"分组进行分组分面
ggboxplot(df, "rx", "age", 
          color = "sex",
          facet.by = "sex",
          palette = "jco")

根据"sex"分组进行分组分面

# 根据“rx”分组匹配不同的点的形状
ggboxplot(df, "rx", "age", 
          color = "rx",
          add = "jitter", 
          shape="rx",
          palette = "jco")

根据“rx”分组匹配不同的点的形状

ggboxplot(df, "rx", "age", 
          color = "rx",#分组颜色
          title="不同化疗方案的年龄分布情况",
          xlab="化疗方案分组",
          ylab="年龄",
          facet.by="sex",
          panel.labs=list(sex=c("男性","女性")),
          notch=T,
          palette = "jco")

最终图形