[会员专享] ggplot2组合绘制相关性箱线图

R语言数据分析指南

发布于 2023-08-18 13:41:53

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发布于 2023-08-18 13:41:53

文章被收录于专栏：R语言数据分析指南R语言数据分析指南

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❝最近有朋友询问一张论文图的绘制方法，其本质为箱线图与棒棒糖图的结合并结合了统计分析，下面小编就通过一个案例来进行展示结果仅供参考，希望各位观众老爷能够喜欢。 ❞

复现图

❝上方的棒棒糖图为对基因内两组之间进行相关性分析的结果展示 ❞

加载R包

library(tidyverse)
library(ggprism)
library(rstatix)
library(ggpubr)
library(magrittr)
library(MetBrewer)
library(patchwork)

数据清洗

df <- read_tsv("data.xls") %>% select(1:10,cluster) %>% 
  select(-ID) %>% 
  pivot_longer(-cluster)

df$name <- factor(df$name,levels = df$name %>% unique())

统计分析

df_p_val1 <- df %>% group_by(name) %>%
  wilcox_test(value ~ cluster) %>%
  adjust_pvalue(p.col = "p", method = "bonferroni") %>%
  add_significance(p.col = "p.adj") %>% 
  add_xy_position(x = "name", dodge = 0.8)

绘制显著性箱线图

p1 <- df %>% ggplot(aes(name,value))+
  stat_boxplot(geom="errorbar",aes(fill=cluster),
               position=position_dodge(width=0.6),width=0.1)+
  geom_boxplot(aes(fill=cluster),position=position_dodge(width =0.6),width=0.4)+
  stat_pvalue_manual(df_p_val1,label = "p.adj.signif",label.size=4,hide.ns = T,
                     tip.length = 0.01)+
  scale_size_continuous(range=c(1,3))+
  scale_fill_manual(values=c("#3CB2EC","#9C8D58"))+
  labs(x=NULL,y=NULL)+
  theme_test()+
  theme(plot.margin=unit(c(0,0.5,0.5,0.5),units=,"cm"),
        axis.line = element_line(color = "black",size = 0.3),
        panel.grid.minor = element_blank(),
        panel.grid.major = element_line(size = 0.2,color = "#e5e5e5"),
        axis.text.y = element_text(color="black",size=8),
        axis.text.x = element_text(margin = margin(t = 2),color="black",size=8),
        legend.position = "none")+
  coord_cartesian()