如何将多个ggplot图与同一构面下的不同数据框组合在一起？

如何解决如何将多个ggplot图与同一构面下的不同数据框组合在一起？

所以，我有两个数据帧，它们产生了两个我想合并的具有相同构面的ggplots

第一个数据帧产生以下ggplot

Dataframe1

library(ggh4x)
library(ggnomics)
library(ggplot2)
library(data.table)

#dataframe
drug <- c("DrugA","DrugB1","DrugB2","DrugB3","DrugC1","DrugC2","DrugC3","DrugC4")
PR  <- c(18,430,156,60,66,113,250)
GR <- c(16,425,154,56,64,111,248)
PS  <- c(28,530,256,3,70,76,213,350)
GS <- c(26,525,254,5,74,211,348)
group<-c("n=88","n=1910","n=820","n=8","n=252","n=280","n=648","n=1186")
class<-c("Class A","Class B","Class C","Class C")
df <-data.frame(drug,group,class,PR,GR,PS,GS)

#make wide to long df
df.long <- melt(setDT(df),id.vars = c("drug","group","class"),variable.name = "type")

#Order of variables
df.long$type <- factor(df.long$type,levels=c("PR","GR","PS","GS"))
df.long$class <- factor(df.long$class,levels= c("Class B","Class A","Class C"))
df.long$group <- factor(df.long$group,levels= c("n=1910","n=88","n=1186"))
df.long$drug <- factor(df.long$drug,levels= c("DrugB1","DrugA","DrugC4"))

数据框1的ggplot

ggplot(df.long,aes(fill = type,x = drug,y = value)) + 
  geom_bar(aes(fill = type),stat = "identity",position = "dodge",colour="white") + 
  geom_text(aes(label = value),position = position_dodge(width = 1.2),vjust = -0.5)+ 
  scale_fill_manual(values = c("#fa9fb5","#dd1c77","#bcbddc","756bb1")) + 
  scale_y_continuous(expand = c(0,0),limits = c(0,600)) +
  theme(title = element_text(size = 18),legend.text = element_text(size = 12),axis.text.x = element_text(size = 9),axis.text.y =element_text(size = 15),plot.title = element_text(hjust = 0.5)) +
  ggh4x::facet_nested(.~class + group,scales = "free_x",space= "free_x")

这是第二个数据帧

#dataframe 2
drug <- c("DrugA","DrugC4")
Sens  <- c(0.99,0.97,NA,0.88,0.92,0.98,0.99)
Spec <- c(1,0.99,1,1)
class<-c("Class A","Class C")
df2 <-data.frame(drug,Sens,Spec)

#wide to long df2
df2.long <- melt(setDT(df2),variable.name = "type")

#additional variables
df2.long$UpperCI <- c(0.99,1)
df2.long$LowerCI  <- c(0.97,0.61,0.83,0.93,0.99)

#order of variables
df2.long$class <- factor(df2.long$class,"Class C"))

数据框2的ggplot

ggplot(df2.long,aes(x=drug,y=value,group=type,color=type)) + 
  geom_line() +
  geom_point()+
  geom_errorbar(aes(ymin=LowerCI,ymax=UpperCI),width=.2,position=position_dodge(0.05)) +
  scale_y_continuous(labels=scales::percent)+
  labs(x="drug",y = "Percentage")+
  theme_classic() +
  scale_color_manual(values=c('#999999','#E69F00')) + 
  theme(legend.text=element_text(size=12),axis.text.x=element_text(size=9),axis.text.y =element_text(size=15),panel.background = element_rect(fill = "whitesmoke"))+
  facet_wrap(facets = vars(class),scales = "free_x")

因此，我试图在一个方面（数据帧1中的一个）下合并两个图，到目前为止，我已经完成了以下操作

ggplot(df.long)+
  aes(x=drug,fill = type)+
  geom_bar(,colour="white") + 
  geom_text(aes(label=value),position=position_dodge(width=0.9),vjust=-0.5,size=2) + 
  scale_fill_manual(breaks=c("PR","GS"),values=c("#dd1c77","#756bb1","#fa9fb5","#e7e1ef","black","black")) + 
  scale_y_continuous(expand = c(0,1100),sec.axis=sec_axis(~./10,labels = function(b) { paste0(b,"%")},name="Percentage")) + #remove space between x axis labels and bottom of chart
  theme(legend.text=element_text(size=12),legend.position = 'bottom',panel.background = element_rect(fill = "whitesmoke"),#color of plot background
        panel.border = element_blank(),#remove border panels of each facet
        strip.background = element_rect(colour = NA)) +  #remove border of strip
  labs(y = "Number of isolates",fill = "")+
  geom_errorbar(data=df2.long,y=value*1000,ymin=LowerCI*1000,ymax=UpperCI*1000,color=type),position=position_dodge(0.05))+
  geom_point(data=df2.long,show.legend = F)+
  geom_line(data=df2.long,color=type)) +
  scale_color_manual(values=c('#999999','#E69F00'))

但是我坚持从plot1添加构面。我希望任何人都可以帮助：）

解决方法

对于这种特定情况，我认为嵌套面不是合适的解决方案，因为n = ...似乎是x轴组的元数据，而不是类的子类别。

以下是您可以使用facet_grid()绘制数据的方法：

ggplot(df.long,aes(drug,value,fill = type)) +
  geom_col(position = "dodge") +
  geom_text(aes(label = value),position = position_dodge(0.9),vjust = -0.5,size = 2) +
  geom_errorbar(data = df2.long,aes(y = value * 1000,color = type,ymin = LowerCI * 1000,ymax = UpperCI * 1000),position = position_dodge(0.05),width = 0.2) +
  geom_point(data = df2.long,color = type),show.legend = FALSE) +
  geom_line(data = df2.long,group = type,color = type)) +
  scale_fill_manual(breaks = c("PR","GR","PS","GS"),values=c("#dd1c77","#756bb1","#fa9fb5","#e7e1ef","black","black")) +
  scale_color_manual(values=c('#999999','#E69F00')) +
  scale_y_continuous(expand = c(0,0),limits = c(0,1100),sec.axis = sec_axis(~ ./10,labels = function(b) {
                                           paste0(b,"%")
                                         },name = "Percentage")) +
  scale_x_discrete(
    labels = levels(interaction(df.long$drug,df.long$group,sep = "\n"))
  ) +
  facet_grid(~ class,scales = "free_x",space = "free_x") +
  theme(legend.text=element_text(size=12),legend.position = 'bottom',axis.text.x=element_text(size=9),axis.text.y =element_text(size=15),panel.background = element_rect(fill = "whitesmoke"),#color of plot background
        panel.border = element_blank(),#remove border panels of each facet
        strip.background = element_rect(colour = NA)) 

如果您坚持使用n = ...标签，也许更好的方法是将它们添加为文本，即添加以下内容：

  stat_summary(fun = sum,aes(group = drug,y = stage(value,after_stat = -50),label = after_stat(paste0("n = ",y))),geom = "text") +

例如，将y轴限制设置为c(-100,1000)。